The hottest Model performance Substack posts right now

And their main takeaways

Category

Top Technology Topics

Use ML interpretability to gain data insights

Mindful Modeler • 239 implied HN points • 12 Dec 23

🕹 Technology Data insights Model performance

ML interpretability can help gain insights about data, along with model improvement and justification.
There are two scenarios for data insights: explorative scenario for general insights and inference scenario for specific, reliable answers.
To achieve inference via ML interpretability, a theory is needed that links model interpretation to the real-world data-generating process.

Evaluating and uncovering open LLMs

Democratizing Automation • 83 implied HN points • 31 May 23

🕹 Technology Machine Learning Evaluation Open-source models Model performance

Evaluating and comparing models is crucial for choosing the right one for a specific task.
Open-source models offer potential with smaller, specialized models for different areas or tasks.
Existing evaluation tools like leaderboards may have limitations and biases that impact decision-making.

Software²

The Gradient • 29 implied HN points • 22 Apr 23

🕹 Technology AI Deep Learning Data Collection Model performance Training Data

AI research is shifting focus from 'learning from data' to 'learning what data to learn from'.
State-of-the-art deep learning models are becoming data sponges capable of modeling immense amounts of data.
Future AI research trends may emphasize data collection and generation to improve model performance.

LLM Chronicles #7: How To Evaluate LLMs? | Open LLM Leaderboard

Pratik’s Pakodas 🍿 • 6 implied HN points • 04 Aug 23

🕹 Technology Benchmarking Model performance AI Systems

The emergence of LLMs fuels debates and expectations for AGI
LLM evaluation involves diverse capabilities and automated methods
Open LLM Leaderboard assesses reasoning, knowledge, and bias in language models

LLaMA: LLMs for Everyone!

Deep (Learning) Focus • 2 HN points • 10 Apr 23

🕹 Technology Deep Learning Open-source models Language Models Model performance

LLaMA provides a collection of open-source LLMs with different sizes for better efficiency.
LLaMA models perform surprisingly well, even outperforming larger models in some cases.
LLaMA challenges the trend of needing massive models by showing the effectiveness of smaller, extensively pre-trained LLMs.

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Prompting GPT is hard - here’s what I learned building a creativity training app using the ChatGPT API

Speculative Inference • 2 HN points • 28 Mar 23

🕹 Technology AI APIs Prompting Latency Model performance

You can ask GPT to determine if user submissions belong to a category
Allow users to enter any category they want for more flexibility
Simplicity matters in prompt engineering to improve AI performance