Meanwhile, the previous version based on Mistral gets 747k downloads/month and I have no idea why this is the case ¯_(ツ)_/¯
OPEN SOURCE
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NeuralDaredevil Reaches 10k Monthly Downloads on Hugging Face
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NeuralDaredevil reached 10k downloads/month and 100 likes on @huggingface Thanks everyone! It performs surprisingly well in many (unexpected) domains and languages, like math and Portuguese. It's also being re-evaluated on the Open LLM Leaderboard v2 due to an issue with IFEval
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What is GPT4All? An Overview of the Open-Source AI Project
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What is GPT4All? GPT4All developed by Nomic AI, has quickly become one of the fastest-growing repositories on GitHub, boasting over 250,000 monthly active users and 65,000 stars on the platform.
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GPT4All Enables Private Local Chat with Open-Source LLMs
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GPT4All is now a completely private experience that lets you chat with locally hosted versions of LLaMa, Mistral, Nous-Hermes, and more. Download here: https://
nomic.ai/gpt4all -
Fine-tune Llama 3 for Customer Support Automation
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Looking for something to do this weekend? Learn how to fine-tune #llama3 to automate customer support! In this hands on #code tutorial, you'll learn how to take a small best-of-breed #opensource LLM and train it for your use case. https://
pbase.ai/3VT4bzN -
Open datasets outpace models in AI impact on HuggingFace
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IMO, open datasets are more impactful than open models these days! You can now filter almost 200,000 of them on HF by modality, size and format: https://
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K-Nearest Neighbours Algorithm Implemented from Scratch Python
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K-Nearest Neighbours (KNN), implemented from scratch in Python:
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Alignment Lab Releases 600M Reddit Samples Dataset
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Another insane drop from @alignment_lab
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Kyutai Labs Presents Moshi, First Open Source Vocal AI
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[#Article] @kyutai_labs presents Moshi: the first open source generative voice AI https://actuia.com/actualite/kyutai-presente-moshi-la-premiere-ia-vocale-generative-open-source/
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Meta Llamas: Achieving 3-5x Token Throughput Improvements
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Welcome Multi Token Prediction: Get up to 3-5x tokens/ sec from your llamas! Kudos to Meta for continuing its commitment to open science