Build Agents with Open Source Models! Explore the latest in context-aware search with our new template by @tjaffri
, powered by @MistralAI 's open-source mixtral model & hosted on @FireworksAI_HQ . It searches academic papers on Arxiv out of the box, and customize it with
OPEN SOURCE
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Build AI Agents with Open Source Mixtral Models
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Hugging Face Competitions: New Features and Enhanced Customization Options
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New Features in Hugging Face Competitions – support for multiple metrics
– custom metrics
– fully hidden test set
– custom hardware support: CPU, A10g, A100
– custom requirements support
– custom time-limit for submission runs
– support for not just submission.csv but any -
LlamaIndex Roadmap: New LLM Models, Vector Stores, Ingestion
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Brief roadmap for more LlamaIndex integrations: More LLM/Embedding models More vector stores Ingestion Pipeline Transformation We'll be doing a live webinar on 16th with @llama_index for more in-depth walkthrough. Have more ideas? Let us know below
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Flowise Expands LlamaIndex Integration for Framework Flexibility
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We are just getting started, there are still lots of LlamaIndex components to be implemented into Flowise. We want to give users ability to use different frameworks, leverage different LLM techniques and achieve best for their use cases. Docs:
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LlamaIndex JS/TS integrations now available in Flowise
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LlamaIndex is a powerful framework with advanced retrieval techniques for designing RAG apps.
— FlowiseAI (@FlowiseAI) 8 février 2024
We're excited to bring LlamaIndex JS/TS integrations into Flowise🥳🎉
Repo: https://t.co/WBoMoPM0Bq
4 templates ready to be used 🧵 pic.twitter.com/f6gnF9sExpLlamaIndex is a powerful framework with advanced retrieval techniques for designing RAG apps. We're excited to bring LlamaIndex JS/TS integrations into Flowise Repo: https://
github.com/FlowiseAI/Flow
ise
… 4 templates ready to be used -
Abacus AI Open-Sources Advanced 30B Mathematical Reasoning Model
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Open-Sourcing the World’s Smartest ~30B Model At Abacus AI we recently open-sourced the smartest ~30B in the world – MetaMath-Bagel_DPO-34B. Our primary docs were enhancing mathematical & reasoning capabilities in LLMs by improving the GSM8k scores. Our strategies involve data
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Bun Node Compatibility Issues Delay Official Support
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Hey Michele The prime reason behind not supporting Bun/Deno are some open issues in Bun as of now regarding Node compatibility. There are many instances where code actually works in Node but not in Bun. (Screenshot of Bun author attached) We aim to support Bun in the future
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Hugging Face: Pioneer of Artificial Intelligence Innovation
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[#Article] How Hugging Face Remains at the Forefront of Innovation https://actuia.com/actualite/comment-hugging-face-reste-a-la-pointe-de-linnovation/
… #AI #artificialintelligence -
MLX Framework for Apple Silicon Machine Learning
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Yeah I used MLX, it’s amazing! You find all what you need here. It’s designed for Apple Silicon https://
github.com/ml-explore/mlx
-examples
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