It definitely kickstarted things for LLMs but it was LLaMA 2 that showed there was interest in opensource models.
OPEN SOURCE
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Top 5 Most Influential Open Source LLM Releases
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the top 5 most influential LLM releases that defined opensource AI > LLaMA 2 > Mistral 7B > LLaMA 3 > Qwen 2.5 > DeepSeek R1
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AI Travel Agent: Intelligent Assistant with Real-Time Information Integration
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AI Travel Agent An intelligent travel assistant that integrates real-time weather, search, and travel information. Leveraging multiple APIs, it streamlines everything from weather updates to currency conversion. Explore the guide on GitHub https://
github.com/ashumishra2104
/AI_Travel_agent_Streamlit
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BLAST: High-Performance AI Web Browser Engine with OpenAI-Compatible Interface
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BLAST: AI Web Browser Engine A high-performance serving engine that adds web browsing to AI applications. BLAST provides an OpenAI-compatible interface with automatic parallelization, intelligent caching, and real-time streaming support. Explore this open-source project
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GraphQA: Natural Language Graph Analysis with LangChain
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GraphQA Transform graph analysis into natural conversations with this NetworkX and LangChain-powered framework. Ask questions in plain English and let GraphQA select and execute the right algorithms, handling graphs up to 100K+ nodes. Check it out
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Open Source Model Inference Prices Drop Significantly Over Time
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Something I haven't thought about too much, but inference prices for open source model shift quite a bit over time – e.g. I've taken 6 models for which I had snapshots of data in August and October 2025 and variance has been quite large: ~30% drops for OpenAI models and ~60%
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Running GPT-OSS 20B on Snapdragon Phones with GPU Memory
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TIL you can run GPT-OSS 20B on a phone! This is on Snapdragon phones with 16GB or more of GPU-accessible memory – I didn't realize they had the same unified CPU-GPU memory trick that Apple Silicon has (The largest iPhone 17 still maxes out at 12GB, so not enough RAM to run https://
x.com/nexa_ai/status
/nexa_ai/status/1975232300985291008
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Last Chance: Context Engineering Webinar with LangChain and Manus
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Last Chance to Join: Context Engineering with LangChain & @manusai This webinar brings together @RLanceMartin Martin (Founding Engineer, LangChain) and Yichao “Peak” Ji (Co-founder & Chief Scientist, Manus; MIT Innovator Under 35) to share practical best practices in
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Flowise 3.0.8: Community Improvements and Bug Fixes
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And lots of small improvements and bugfixes from community, thank you🫡 Full release note:
github.com/FlowiseAI/Flowise… [Translated from EN to English]→ View original post on X — @flowiseai, 2025-10-10 18:32 UTC
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OpenAPI Toolkit Upgrades: Convert Specs to LLM-Ready Tools
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5/📜 OpenAPI Toolkit upgrades
— FlowiseAI (@FlowiseAI) 10 octobre 2025
This toolkit turns any OpenAPI (Swagger/JSON) spec into a set of LLM-ready tools – kinda similar to MCP!
Simply drop an OpenAPI spec link like: https://t.co/CI2AgIW0HD and watch the magic 🪄 pic.twitter.com/kLRUN2ieY25/📜 OpenAPI Toolkit upgrades This toolkit turns any OpenAPI (Swagger/JSON) spec into a set of LLM-ready tools – kinda similar to MCP! Simply drop an OpenAPI spec link like: api.apis.guru/v2/specs/groun… and watch the magic 🪄
→ View original post on X — @flowiseai, 2025-10-10 18:32 UTC