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.
naklecha/llama3-from-scratch
A notebook project that implements llama3 from scratch, one tensor and matrix multiplication at a time. It loads tensors directly from the model file Meta provided for llama3, and the weights must be downloaded before running the file. The author does not implement a BPE tokenizer and instead uses tiktoken.
GitHub repo Directory import
Limitations
- you need to download the weights before running this file Source: github.com
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0A 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.
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0Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.
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0A reference page for ClojureScript's JavaScript API covering the stable, publicly consumable indexOf and lastIndexOf functions. These get the index of a value in a sequential collection, or -1 if not found, with an optional starting index for the search.
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0A 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.
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0A 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.
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0prompts.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.
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