Shyam Sunder Kumar
theainerd
AI & ML interests
Natural Language Processing
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๐ฃ๐น๐ฎ๐ป๐ป๐ถ๐ป๐ด ๐ฌ๐ผ๐๐ฟ ๐ก๐ฒ๐
๐ ๐ฆ๐ธ๐ถ ๐๐ฑ๐๐ฒ๐ป๐๐๐ฟ๐ฒ ๐๐๐๐ ๐๐ผ๐ ๐ฆ๐บ๐ฎ๐ฟ๐๐ฒ๐ฟ: ๐๐ป๐๐ฟ๐ผ๐ฑ๐๐ฐ๐ถ๐ป๐ด ๐๐น๐ฝ๐ถ๐ป๐ฒ ๐๐ด๐ฒ๐ป๐!๐๏ธโท๏ธ
With the big hype around AI agents these days, I couldnโt stop thinking about how AI agents could truly enhance real-world activities.
What sort of applications could we build with those AI agents: agentic RAG? self-correcting text-to-sql? Nah, boringโฆ
Passionate about outdoors, Iโve always dreamed of a tool that could simplify planning mountain trips while accounting for all potential risks. Thatโs why I built ๐๐น๐ฝ๐ถ๐ป๐ฒ ๐๐ด๐ฒ๐ป๐, a smart assistant designed to help you plan safe and enjoyable itineraries in the French Alps and Pyrenees.
Built using Hugging Face's ๐๐บ๐ผ๐น๐ฎ๐ด๐ฒ๐ป๐๐ library, Alpine Agent combines the power of AI with trusted resources like ๐๐ฌ๐ช๐ต๐ฐ๐ถ๐ณ.๐ง๐ณ (https://skitour.fr/) and METEO FRANCE. Whether itโs suggesting a route with moderate difficulty or analyzing avalanche risks and weather conditions, this agent dynamically integrates data to deliver personalized recommendations.
In my latest blog post, I share how I developed this projectโfrom defining tools and integrating APIs to selecting the best LLMs like ๐๐ธ๐ฆ๐ฏ2.5-๐๐ฐ๐ฅ๐ฆ๐ณ-32๐-๐๐ฏ๐ด๐ต๐ณ๐ถ๐ค๐ต, ๐๐ญ๐ข๐ฎ๐ข-3.3-70๐-๐๐ฏ๐ด๐ต๐ณ๐ถ๐ค๐ต, or ๐๐๐-4.
โท๏ธ Curious how AI can enhance adventure planning?โจTry the app and share your thoughts: https://huggingface.co/spaces/florentgbelidji/alpine-agent
๐ Want to build your own agents? Whether for cooking, sports training, or other passions, the possibilities are endless. Check out the blog post to learn more: https://huggingface.co/blog/florentgbelidji/alpine-agent
Many thanks to @m-ric for helping on building this tool with smolagents!
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MiniMax-01 is Now Open-Source: Scaling Lightning Attention for the AI Agent Era
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Training Large Language Models to Reason in a Continuous Latent Space
Paper โข 2412.06769 โข Published โข 74 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper โข 2408.03314 โข Published โข 54 -
Solving math word problems with process- and outcome-based feedback
Paper โข 2211.14275 โข Published โข 8
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