I showed Gemini 1.5 Pro the ENTIRE Self-Operating Computer codebase, and an example Gemini 1.5 API call. From there, it was able to perfectly explain how the codebase works… and then it implemented itself as a new supported model for the repo! Not perfect, but very close.
OPEN SOURCE
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27 Mistral-7B Adapters Fine-Tuned for Under $8 Each
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We fine-tuned 27 adapters using #Mistral-7B on Predibase for < $8.00 each and 25 of them rival or outperform #GPT4 Check out our blog to see benchmarks, learn how we did it & get the link to download the #LLMs on @HuggingFace #TheFutureIsFineTuned https://
pbase.ai/49Hrwtn -
JSON Agents with Mixtral: Open Source Graph Database Navigation
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JSON Agents with @ollama & LangChain Explore the cutting-edge application of the Open Source Mixtral model from @MistralAI to an agent that navigates a graph database in our latest blog. Authored by @tb_tomaz from @neo4j
, this insightful post demonstrates how leveraging a -
Abacus AI Launches Affordable LLM Fine-Tunes Inference API
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@AbacusAI introduces "LLM Fine-Tunes" inference API = Unlocks the power of affordable, Open-Source #LLMs, matches GPT-4’s performance and is 20X cheaper! Start here: https://
abacus.ai/llmapi
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#LLMOps #AI #GenerativeAI #MachineLearning #MLOps #GPT4 #DeepLearning #DataScience -
MinBPE: Minimal Byte Pair Encoding Implementation for LLM Tokenization
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Also, releasing new repository on GitHub: minbpe
Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization. https://
github.com/karpathy/minbpe In the video we essentially build minbpe from scratch.
Don't miss the http://
exercise.md to build your -
Research Papers Should Include Changelog Sections
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never seen a paper with a changelog section before. this is a good idea. more people should do this (from "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere")
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Production-Ready Generative AI Applications with LangChain
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4. Generative AI with Langchain Learn how to develop production-ready Generative AI applications with LangChain framework from theory to deployment.
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Depth Anything: Monocular Depth Perception Model by TikTok
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🚀 Blog-tastic Tuesdays 🚀https://t.co/OBCHvJzcJ9
— Satya Mallick (@LearnOpenCV) 20 février 2024
Humans require two eyes to perceive depth in real time. However, the Depth Anything monocular depth perception model by TikTok is able to do this on just one stream of video. Check out the experimental results of our latest… pic.twitter.com/h0Z2igf49RBlog-tastic Tuesdays https://
learnopencv.com/depth-anything/ Humans require two eyes to perceive depth in real time. However, the Depth Anything monocular depth perception model by TikTok is able to do this on just one stream of video. Check out the experimental results of our latest -
LoRA Land: 25 Fine-Tuned Mistral Models Outperforming GPT-4
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Introducing #LoRA Land: 25 fine-tuned #mistral-7b models that outperform #gpt4 for specific tasks.
— Predibase by Rubrik (@predibase) 20 février 2024
You can prompt all of the fine-tuned #LLMs and compare their results to mistral-7b-instruct in real time!
Check out LoRA Land: https://t.co/QsBrFGAIry pic.twitter.com/qZYZcLQvvgIntroducing #LoRA Land: 25 fine-tuned #mistral-7b models that outperform #gpt4 for specific tasks. You can prompt all of the fine-tuned #LLMs and compare their results to mistral-7b-instruct in real time! Check out LoRA Land: https://
pbase.ai/3ORqcwa -
RAG Demo Tutorial Notebook Visualization Code
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Code here: https://
github.com/Renumics/rag-d
emo/blob/main/notebooks/visualize_rag_tutorial.ipynb
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