The hottest Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

Ready, Set, Test: Building Evaluation into Your LLM Workflow

LLMs for Engineers • 0 implied HN points • 13 Oct 23
🕹 Technology Development
  1. Developers need to create clear evaluation standards for large language model apps. This helps them understand what makes an app 'good' and improves user experience.
  2. The tool **llmeval** offers a systematic way to evaluate LLM applications using different methods like metrics, tools, and models. It helps teams quickly test and monitor their apps.
  3. Testing LLMs can be tricky because they often give different answers for the same input. Using sampling and setting thresholds in testing can help manage this unpredictability.

How to remove Nx cloud from your app

Shrek's Substack • 0 implied HN points • 24 Aug 23
🕹 Technology Development
  1. Nx Cloud can speed up tasks for big teams, but small projects might not need it. It's okay to skip it if you're working solo or on smaller tasks.
  2. If you encounter errors using Nx Cloud, switching to local runners is a good solution. Local runners can handle tasks without relying on the cloud.
  3. To remove Nx Cloud from your app, just change a setting in the nx.json file and switch to a local runner. You can also uninstall Nx Cloud easily with a command.

Have Gordon Ramsay do your initial code review

Shrek's Substack • 0 implied HN points • 15 Jun 23
🕹 Technology Development
  1. Using humor in coding reviews can help remove ego and make feedback more enjoyable. It's like having a friend point out mistakes in a fun way.
  2. Modernizing outdated code is important. Just like using fresh ingredients in cooking, using current coding practices makes your code better.
  3. Clear names and proper documentation are key. Good code should be as easy to understand as a well-labeled recipe.

The Tech Buffet #7: Better Manipulate Paths In Python With Pathlib

The Tech Buffet • 0 implied HN points • 13 Oct 23
🕹 Technology Development
  1. Pathlib is a powerful alternative to the os module for managing paths in Python. It helps you work with file paths in a more intuitive way.
  2. Using Pathlib can make your code cleaner and easier to read. It's designed to handle file system paths without all the complexity of older methods.
  3. Learning Pathlib is beneficial for Python developers, especially if you frequently work with files and directories in your projects.

Multi-Modal Agentic Applications

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 23 Aug 24
🕹 Technology Development
  1. AI agents are software that can perform tasks and make decisions on their own. They break down complex jobs into smaller steps to make them easier to handle.
  2. These agents use various tools, including APIs and even humans, to help solve problems. This helps them be more effective and ensures safety in their operations.
  3. Multi-modal agents can use both language and vision. This makes them more powerful because they can analyze images and text together for better understanding and responses.
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A Short History Of LLMs & Conversational UIs

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 13 May 24
🕹 Technology Development
  1. It's important to have a strong data plan when using AI because the technology is evolving quickly. Focusing on how to use data effectively can improve results.
  2. Many businesses struggle with using large language models because they rely on external services. Having local versions could help, but technical challenges make this tough.
  3. The use of AI in chatbot development has changed, starting from helping create better responses to managing conversations more smoothly, which makes interactions feel more natural.

LlamaIndex Agent Step-Wise Execution Framework With Agent Runners & Agent Workers

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 15 Apr 24
🕹 Technology Development
  1. LlamaIndex has a special agent API that allows for detailed control while executing tasks. This means users can build reliable systems that fit their specific needs.
  2. The system is made of two main parts: AgentRunner, which manages the state and tasks, and AgentWorker, which executes steps for those tasks. Together, they work to complete user queries efficiently.
  3. Even though some concepts in software might seem too advanced for now, they lay the groundwork for future developments. Understanding these concepts can help developers innovate and improve their skills.

Complete AI Productivity Suite

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 27 Mar 24
🕹 Technology Development
  1. A complete AI productivity suite includes various components that help manage large language models and their application, but it won't focus deeply on just one area.
  2. There are different frameworks like Ops Centric, Hub Centric, and Data Centric, each focusing on different aspects of AI operations and workflows.
  3. Data centric solutions help in discovering and organizing data effectively to improve AI performance, which is an important part of the overall suite.

OpenAI JSON Mode & Seeding

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 20 Dec 23
🕹 Technology Development
  1. OpenAI's JSON mode doesn't ensure a specific output format, but it guarantees that the JSON will be valid. This means it will always parse without errors.
  2. Using the 'seed' parameter can help create consistent JSON structures, allowing similar inputs to produce the same output format.
  3. It's important to explicitly instruct the model to generate JSON to avoid issues; relying solely on the response format flag might lead to problems like infinite outputs.

The LangChain Ecosystem Is Expanding At A Tremendous Pace

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 14 Dec 23
🕹 Technology Development
  1. LangChain is quickly becoming the go-to tool for developing applications using large language models (LLMs). It helps makers implement and experiment with new ideas effectively.
  2. The LangChain ecosystem now includes separate packages for different functionalities, making it easier to use and extend. These include specific tools for chains, agents, and community integrations.
  3. LangSmith offers a way to monitor and manage LLM applications, which is crucial for understanding performance and usage. This tool helps developers keep track of important metrics like costs and model accuracy.

Large Language Model Programs

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 12 Dec 23
🕹 Technology Development
  1. Using Large Language Models (LLMs) can improve many applications without needing to fine-tune them. Just accessing their capabilities as needed can work well.
  2. Breaking complex tasks into smaller steps makes it easier to manage, and LLMs can handle each part effectively. This helps in getting better results from these models.
  3. Data plays a big role in how LLMs work alongside other tools. Having clear strategies for handling data can really enhance the performance and flexibility of LLM systems.

Five Stages Of LLM Implementation

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 11 Dec 23
🕹 Technology Development
  1. Implementing LLMs (Large Language Models) changes how applications are developed. Many teams focus on building tools instead of actually using them, which creates a gap.
  2. Getting data right is vital for successful LLM implementation. Companies should look closely at their data strategy to ensure LLMs perform well, especially during real-time use.
  3. There are several stages to using LLMs effectively. Starting from design time benefits user experience by avoiding issues like high costs and slow responses when deployed.

OpenAI Assistants API & Python SDK

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 08 Dec 23
🕹 Technology Development
  1. The OpenAI Assistants API helps make it easier to create virtual assistants that can handle conversations without needing prompts. This allows developers to focus more on building functionality instead of managing conversation states.
  2. While the API provides a convenient way to manage conversation history, users still incur costs for every message, which can be unclear. Understanding the token usage is essential to manage budget effectively.
  3. Creating a run in the Assistant API is asynchronous, meaning that developers need to check the status of their request until it's complete. This adds some complexity, but it does allow for better tracking of assistant performance.

Now You Can Set GPT Output To JSON Mode

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 21 Nov 23
🕹 Technology Development
  1. You can now set the GPT model to respond in JSON format. This helps in getting structured data directly from the model.
  2. When using JSON mode, you need to set specific instructions for the model to generate valid JSON. Otherwise, it might not give you the expected output.
  3. Using a 'seed' parameter can help create consistent JSON outputs, making it easier to work with the data you receive.

What Are OpenAI Assistant Function Tools Exactly?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 10 Nov 23
🕹 Technology Development
  1. OpenAI Assistant Function Tools help organize the output from language models. They turn casual conversation into a structured JSON format that's easier to use with external APIs.
  2. These tools allow users to create custom functions that can be called by the assistant. This means you can set up specific tasks like sending emails with the right information automatically filled in.
  3. Using Function Tools makes it simpler for developers to transform data from models. This new feature helps refine the way outputs are formatted, making them more usable for various applications.

Creating A Basic OpenAI Assistant Notebook

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 09 Nov 23
🕹 Technology Development
  1. You can create a simple OpenAI Assistant using a few lines of code. It's easy to set up and manage right from your notebook.
  2. The assistant will need objects and threads to handle user conversations. These help store and manage message history effectively.
  3. To get responses from your assistant, you will need to implement 'runs' which check the status and allow the assistant to act on messages.

OpenAI Assistant With Retriever Tool

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 09 Nov 23
🕹 Technology Development
  1. OpenAI assistants are like smart agents that help users by performing different tasks. They use specific tools to get the job done.
  2. The retrieval tool allows assistants to access information from various documents, enhancing their ability to answer questions accurately based on external knowledge.
  3. You can manage ongoing conversations with these assistants, allowing them to keep track of what was discussed. This helps in providing better responses over time.

What Is Happening To OpenAI’s Playground?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 07 Nov 23
🕹 Technology Development
  1. The OpenAI Playground is evolving into a user-friendly dashboard that makes it easier to create and customize AI assistants without needing to code. This means users can quickly fine-tune models and build applications.
  2. OpenAI is shifting its focus towards a conversational approach, encouraging developers to create applications that enhance user experiences rather than just improve technical functionalities. Users want engaging technology that’s easy to use.
  3. New features like threads for conversations and tools for file retrieval and code execution are being added. These tools help make the AI assistants more practical and capable, allowing for a richer interaction experience.

The Conversational AI Technology Landscape: Version 5.0

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 19 Oct 23
🕹 Technology Development
  1. The rise of voice technology is changing how chatbots work. Now, they need to handle voice calls and deal with more complex conversations.
  2. Large Language Models are improving chatbot efficiency. They help create training data and can also generate conversations more effectively.
  3. The chatbot market is becoming more complicated. Vendors must adapt to include voice interactions and advanced language processing to stay relevant.

OpenAI Has Expanded Their Fine-Tuning GUI

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 11 Oct 23
🕹 Technology Development
  1. OpenAI now allows fine-tuning with just 10 records, making it easier and faster to personalize models.
  2. The new graphical user interface (GUI) simplifies the fine-tuning process, making it accessible to more users without needing extensive technical skills.
  3. Costs for fine-tuning have decreased significantly, allowing organizations of all sizes to create customized models.

Automatic Prompt Engineering

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 27 Sep 23
🕹 Technology Development
  1. Automatic Prompt Engineering (APE) creates prompts for text generation based on what you want as input and output. It helps make the process easier and faster.
  2. With APE, a computer can suggest the best prompts by testing different options and scoring them for quality. This reduces the need for a human to write every prompt manually.
  3. Using APE allows for better interaction with large language models by focusing on user intent and context. It makes conversations feel more natural and responsive.

OpenAI Playground Start & Restart Prompt Injection

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 19 Apr 23
🕹 Technology Development
  1. OpenAI is using ChatML to help the AI tell the difference between human and machine text. This can reduce bad prompt injections by recognizing who is giving instructions.
  2. They have introduced different modes for specific tasks. Each mode has its own setup to guide users on how to interact with the AI effectively.
  3. New options in OpenAI Playground let users add text at the beginning or end of an AI response. This helps create better conversations and reminds users how to make good prompts.

The Foundation Conversational AI Technologies: Version 3

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 13 Apr 23
🕹 Technology Development
  1. There's been a rise in chatbot development frameworks that now include large language models (LLMs). This means chatbots can do more complex tasks than before.
  2. LLMs are not just for generating responses anymore. They can help create entire conversation flows and assist developers more effectively.
  3. Future improvements will focus on better fine-tuning and supervision methods for LLMs, making them even smarter and more useful.

Foundation Large Language Model Stack

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 05 Apr 23
🕹 Technology Development
  1. Creating a complete chart of large language model products is really hard. There are so many different uses and categories for them.
  2. The landscape of LLMs is changing quickly, with new generative products being revealed every day. Some of these products may not be available yet.
  3. It's important to understand the functionality of each product to categorize and segment them correctly. Feedback from others can help improve this understanding.

Google Has Started To Open Access To Bard

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 22 Mar 23
🕹 Technology Development
  1. Google has opened access to Bard for users in the U.S. and U.K., with plans to expand to more places soon. You need to apply to access it.
  2. Bard is a helpful AI tool that gives users multiple answers to questions, letting them pick the best option. It works alongside Google Search to provide more information.
  3. Google designed Bard to be simple and efficient, aiming to use its search expertise to ensure users get reliable information and suggestions.

OpenAI Has Three New Use Modes, Each With Mode Specific Models

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 16 Mar 23
🕹 Technology Development
  1. OpenAI has introduced three new modes for its language models. Each mode is designed for specific tasks like chat, insertion, and editing.
  2. These modes help users get better results by matching their tasks with the right model. Using the correct mode makes the AI work more effectively.
  3. Prompt engineering is now tailored to each mode. This means users will need to adjust their input templates to fit the specific needs of each mode.

The Foundation Large Language Model (LLM) & Tooling Landscape

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 16 Feb 23
🕹 Technology Development
  1. There are many new applications for Generative AI, and they can be grouped into different categories. This shows how quickly this technology is growing.
  2. For AI tools to succeed, they need to have unique features and provide a great user experience. Otherwise, they might not survive in the crowded market.
  3. A lot of different companies are entering the AI space, but only those that can keep customers and offer something special will thrive.

NLP/NLU, Chatbots, Conversational UI/UX, Developer, Ubiquitous User Interfaces

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 01 Jun 21
🕹 Technology Development
  1. NLP and NLU help machines understand human language better. This makes chatbots and voicebots more effective in conversations.
  2. Conversational UI/UX focuses on making user interactions with technology feel natural and engaging. Good design improves user satisfaction.
  3. Developers play a key role in building these technologies. Their skills help create seamless and intuitive interfaces for users.

Melody, harmony, coding with AI

Sunday Letters • 0 implied HN points • 07 Jul 24
🕹 Technology Development
  1. We're entering a new era in programming that mixes old ways with new AI techniques. Just like how the internet changed things, now we have to adapt to using AI models in our coding.
  2. This new programming will be a mix of structured coding and creative AI output. Think of it like music where the code is the essential framework and the AI adds creative touches around it.
  3. As we explore this new landscape, it's important to experiment and learn from our experiences. Don’t get stuck in outdated methods, but be open to finding better solutions with AI.

Public roadmap 🗺️

André Casal's Substack • 0 implied HN points • 30 Aug 24
🕹 Technology Development
  1. Gathering customer feedback is important. It's a way to show that you care about their experience and want to help them with any issues.
  2. Adding a feature voting system can help prioritize what customers want. This engagement makes the roadmap more interactive and customer-focused.
  3. Building a community for discussion on product features can enhance user involvement. It allows users to share their thoughts and connect with others interested in the same product.

Product Hunt launch 🚀

André Casal's Substack • 0 implied HN points • 27 Aug 24
🕹 Technology Development
  1. The founder is actively promoting their product, LaunchFast, across different online communities.
  2. They are reaching out to friends and asking for support to improve their launch status.
  3. The founder is open to suggestions on how to better reach developers who might be interested in their product.

A great first impression ♥️

André Casal's Substack • 0 implied HN points • 03 Aug 24
🕹 Technology Development
  1. The CLI should create a positive first impression for users. It's important that the first interaction feels welcoming and easy to use.
  2. Gathering feedback on the CLI is vital. Receiving suggestions from users can help improve the experience.
  3. Taking breaks and resting, even on workdays, is essential for keeping energy levels up. It's okay to take it easy sometimes.

A beautiful CLI experience ♥️

André Casal's Substack • 0 implied HN points • 02 Aug 24
🕹 Technology Development
  1. The landing page for LaunchFast has been improved with more info on benefits and a new design. This will help visitors understand why they should use the product.
  2. An update to the CLI makes it easier to use by adding a flag that skips a step for users. This change makes starting the app even simpler for customers.
  3. The developer plans to keep building on customer feedback and is focused on refining the product to create better experiences for users in the future.

Coming soon

Software Ninja Handbook • 0 implied HN points • 12 Sep 24
🕹 Technology Development
  1. A new resource called the Software Ninja Handbook is on the way. It looks like it will offer helpful insights on software development.
  2. People can subscribe to get updates and content from this handbook. Joining the mailing list could keep you in the loop.
  3. The announcement suggests that there will be interesting content tailored for developers. It's worth checking out if you want to improve your skills.

Pair Programming with Artificial Intelligence

polymathematics • 0 implied HN points • 03 Dec 22
🕹 Technology Development
  1. You can use AI like ChatGPT to help create software quickly. Working together, you can build things faster than you might alone.
  2. Pair programming with AI can make coding easier and more fun. It allows for more creative ideas and faster problem-solving.
  3. There's a Chrome extension called ChromeGPT that lets you use AI directly while you code. This tool can enhance your programming experience significantly.

Geometry-Aware Hashing of GeoJSON objects

Altay's Blog • 0 implied HN points • 26 May 24
🕹 Technology Development
  1. Hashing can make comparing large lists of GeoJSON objects faster and easier. It lets you quickly find duplicates without much effort.
  2. GeoJSON shapes, like polygons and lines, can be represented by different sets of coordinates. This means we need a special way to hash them to recognize their shape, not just the order of points.
  3. To achieve this, we can create a consistent way to choose starting points or reorder coordinates. This way, the hash will stay the same, even if the coordinates are ordered differently.

Git Stash Like a Pro: Tips for Every Developer

Curious Devs Corner • 0 implied HN points • 09 Sep 24
🕹 Technology Development
  1. The `git stash` command lets you temporarily save your changes without committing them. This is useful when you need to switch branches but want to keep your work safe.
  2. You can list, apply, or pop your stashes to manage them easily. When you pop a stash, it removes it from your stash list for good.
  3. To avoid losing track of changes, you can also show changes or create a new branch from your stash. This makes it easier to keep your work organized.

The Comprehensive Guide to Architectural Decision Records

Curious Devs Corner • 0 implied HN points • 11 Jul 24
🕹 Technology Development
  1. Architectural Decision Records (ADRs) help document important decisions in software architecture, including why certain choices were made. They're like notes that anyone on the team can review later.
  2. Using ADRs boosts team trust by providing clear reasons behind technology choices, reducing confusion, and helping new members understand past decisions. They show what has been discussed and why certain technologies were selected or rejected.
  3. ADRs promote transparency by allowing anyone interested to see the decision-making process. This helps different teams learn from each other and fosters better communication.

Integrating OpenAI with a Spring Boot Application Using Spring AI

Curious Devs Corner • 0 implied HN points • 08 Jul 24
🕹 Technology Development
  1. Spring AI makes it easier to add AI features to your applications. It provides tools and support for using AI models in your software.
  2. You can create an AI language assistant to help students practice a foreign language. The AI can generate fun scenarios and stories to keep the practice interesting.
  3. To get started, you need to set up your project with specific dependencies and an OpenAI API key. This will allow your application to interact with the OpenAI services.

Key Updates in PHP 8.4

Weekly PHP • 0 implied HN points • 08 Oct 24
🕹 Technology Development
  1. PHP 8.4 will introduce new features that help developers code faster and more easily. These updates are focused on improving performance and enhancing the developer experience.
  2. Learning about SPL data structures can make your PHP code more efficient and easy to read. There are seven important structures that you should know for better coding practices.
  3. Understanding how to work with PHP object-oriented features like getters, setters, and readonly classes can lead to cleaner and safer code. This knowledge is key for maintaining good coding standards.