The hottest LLM Substack posts right now

And their main takeaways

Category

Top Technology Topics

Best Practices in Retrieval Augmented Generation

Gradient Flow • 599 implied HN points • 19 Oct 23

🕹 Technology AI Data Management Information Retrieval LLM

Retrieval Augmented Generation (RAG) enhances language models by integrating external knowledge sources for more accurate responses.
Evaluating RAG systems requires meticulous component-wise and end-to-end assessments, with metrics like Retrieval_Score and Quality_Score being crucial.
Data quality is pivotal for RAG systems as it directly impacts the accuracy and informativeness of the generated responses.

💡WEBINAR: Beyond fine-tuning. Approaches in LLM optimization

TheSequence • 126 implied HN points • 29 Jan 24

🕹 Technology Webinar LLM Optimization Techniques

LLMs can be optimized through various techniques beyond just tuning and prompt engineering.
The webinar will cover topics like prompt optimization, production insights, and LLM architectures.
Even if you can't attend, you can still register to receive the recording of the webinar.

Retrieval Augmented Generation in the Browser

Vigneshwarar’s Newsletter • 2 HN points • 20 Sep 23

🕹 Technology Web Development APIs Machine Learning LLM

EazyRAG simplifies the process of implementing RAG in browsers with a user-friendly API.
Indexed content on the server side allows easy generation of grounded answers through a simple API call.
There is support for streams and an aim to create a beginner-friendly API for LLM agents.

Activities planned for 2025

Experiments with NLP and GPT-3 • 0 implied HN points • 30 Oct 24

🕹 Technology AI Open Source Community LLM Vision

There are open source projects planned for 2025 that focus on AI technology. These projects mainly include advancements in language models, speech processing, and computer vision.
Community involvement is encouraged, and anyone interested in AI-related activities can get in touch to participate.
The guiding principles of these projects are based on the AI Punk's manifesto, emphasizing collaboration and innovation in the field of AI.

Good LLM use cases

Expand Mapping with Mike Morrow • 0 implied HN points • 12 Feb 25

🕹 Technology AI LLM Data Applications Innovations

Many people are trying to use LLMs, but often they aren't sure what problems to solve. It's important to find the right match between the tool and the issue.
LLMs can be really useful for tasks like translation, helping people find information, and working with data. These are some of the best ways to use them.
Successful LLM applications will focus on these core uses. It's all about using the technology for what it does best.

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