Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Voyager is an LLM-powered embodied agent for Minecraft that explores, acquires skills, and makes discoveries without human intervention. It combines an automatic curriculum, a skill library of executable code, and an iterative prompting mechanism using environment feedback, execution errors, and self-verification. It interacts with GPT-4 through blackbox queries, avoiding model parameter fine-tuning.
A blog post by Thomas Wolf arguing against the idea that AI will produce a compressed 21st century, suggesting current trends would instead yield a country of yes-men on servers. It draws on the author's personal experience as a researcher.
A tool that generates consolidated llms.txt text files from websites for LLM training and inference, powered by Firecrawl. The site states the API is being deprecated in favor of the main endpoints and will no longer be maintained after June 30, 2025, though the endpoint remains active.
prompts.chat is a community platform for discovering, collecting and sharing AI prompts for ChatGPT, Claude, Gemini and other models. It is free and open source, and can be self-hosted for private deployments. An MCP-first API supports searching and discovering prompts programmatically.
A blog guide on FinetuneDB covering best practices for evaluating Large Language Model outputs. It explains what LLM output evaluation is, why it matters, and describes evaluation datasets, model-based judgments and human judgments as approaches for structuring the process.
Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.
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Voyager is an LLM-powered embodied agent for Minecraft that explores, acquires skills, and makes discoveries without human intervention. It combines an automatic curriculum, a skill library of executable code, and an iterative prompting mechanism using environment feedback, execution errors, and self-verification. It interacts with GPT-4 through blackbox queries, avoiding model parameter fine-tuning.
A blog post by Thomas Wolf arguing against the idea that AI will produce a compressed 21st century, suggesting current trends would instead yield a country of yes-men on servers. It draws on the author's personal experience as a researcher.
A tool that generates consolidated llms.txt text files from websites for LLM training and inference, powered by Firecrawl. The site states the API is being deprecated in favor of the main endpoints and will no longer be maintained after June 30, 2025, though the endpoint remains active.
prompts.chat is a community platform for discovering, collecting and sharing AI prompts for ChatGPT, Claude, Gemini and other models. It is free and open source, and can be self-hosted for private deployments. An MCP-first API supports searching and discovering prompts programmatically.
A blog guide on FinetuneDB covering best practices for evaluating Large Language Model outputs. It explains what LLM output evaluation is, why it matters, and describes evaluation datasets, model-based judgments and human judgments as approaches for structuring the process.
Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.
