Show HN: Python lib to run evals across providers: OpenAI, Anthropic, etc.
The GitHub repository provides details on LLM Safety Evals, accessible on evals.gg. It features a bar chart, a Twitter post, setup guidelines, and code execution commands. Contact for further support.
Read original article
The GitHub repository contains information about LLM Safety Evals, with results available on evals.gg. It includes a bar chart, a Twitter post, setup instructions, and commands to execute the code. For more information or help, please reach out for assistance.
Related
AI-powered conversion from Enzyme to React Testing Library
Slack engineers transitioned from Enzyme to React Testing Library due to React 18 compatibility issues. They used AST transformations and LLMs for automated conversion, achieving an 80% success rate.
GitHub – Karpathy/LLM101n: LLM101n: Let's Build a Storyteller
The GitHub repository "LLM101n: Let's build a Storyteller" offers a course on creating a Storyteller AI Large Language Model using Python, C, and CUDA. It caters to beginners, covering language modeling, deployment, programming, data types, deep learning, and neural nets. Additional chapters and appendices are available for further exploration.
How to run an LLM on your PC, not in the cloud, in less than 10 minutes
You can easily set up and run large language models (LLMs) on your PC using tools like Ollama, LM Suite, and Llama.cpp. Ollama supports AMD GPUs and AVX2-compatible CPUs, with straightforward installation across different systems. It offers commands for managing models and now supports select AMD Radeon cards.
A portable lightweight C FFI for Lua, based on libffi
A GitHub repository offers a portable lightweight C FFI for Lua, based on libffi. It aims for LuaJIT FFI compatibility, developed in C. Includes features, examples, basic types, build instructions, testing, and acknowledgements.
AWS Lambda Web Adapter
The GitHub repository provides details on the AWS Lambda Web Adapter, allowing developers to build web apps on AWS Lambda with features like endpoint support, response encoding, and local debugging.
1 commentsRelated
AI-powered conversion from Enzyme to React Testing Library
Slack engineers transitioned from Enzyme to React Testing Library due to React 18 compatibility issues. They used AST transformations and LLMs for automated conversion, achieving an 80% success rate.
GitHub – Karpathy/LLM101n: LLM101n: Let's Build a Storyteller
The GitHub repository "LLM101n: Let's build a Storyteller" offers a course on creating a Storyteller AI Large Language Model using Python, C, and CUDA. It caters to beginners, covering language modeling, deployment, programming, data types, deep learning, and neural nets. Additional chapters and appendices are available for further exploration.
How to run an LLM on your PC, not in the cloud, in less than 10 minutes
You can easily set up and run large language models (LLMs) on your PC using tools like Ollama, LM Suite, and Llama.cpp. Ollama supports AMD GPUs and AVX2-compatible CPUs, with straightforward installation across different systems. It offers commands for managing models and now supports select AMD Radeon cards.
A portable lightweight C FFI for Lua, based on libffi
A GitHub repository offers a portable lightweight C FFI for Lua, based on libffi. It aims for LuaJIT FFI compatibility, developed in C. Includes features, examples, basic types, build instructions, testing, and acknowledgements.
AWS Lambda Web Adapter
The GitHub repository provides details on the AWS Lambda Web Adapter, allowing developers to build web apps on AWS Lambda with features like endpoint support, response encoding, and local debugging.