Instead of relying on large, general-purpose LLMs, consider using Small Language Models (SLMs) and integrating them into your agent pipeline. SLMs are faster, cheaper, and in many cases, just as effective for tool-like and repetitive tasks.
@sumanth_077
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Small Language Models and the Future of Agentic AI
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Small Language Models are the Future of Agentic AI! NVIDIA Research just dropped a paper that could change how you think about building agentic systems. Here is everything you need to know:
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Stanford CS336: Comprehensive Course on Building Language Models from Scratch
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Stanford CS336: Language Models from Scratch! This is a comprehensive course on language models covers the full process of building one from scratch. It includes data collection, pretraining, transformer architecture, training, evaluation, and deployment.
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Hands on AI Engineering: LLM Applications and Agentic Systems
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9. Hands on AI Engineering Curated repository of AI-powered applications and agentic systems showcasing practical use cases of Large Language Models (LLMs) Check this out:
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Machine Learning for Beginners Course from Microsoft
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8. Machine Learning for Beginners from Microsoft Check this out:
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Designing Machine Learning Systems: Book Summaries and Resources
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7. Designing Machine Learning Systems This repo contains the summaries and resources for Designing Machine Learning Systems book Check this out:
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Awesome Generative AI Guide: Research, Interviews and Resources
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6. Awesome Generative AI Guide A one stop repository for generative AI research updates, interview resources, notebooks and much more! Check this out:
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Prompt Engineering Guide: Comprehensive Learning Resources
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5. Prompt Engineering Guide The repo contains all the Guides, papers, lecture, notebooks and resources to learn and master prompt engineering Check this out:
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Design, Develop, Deploy and Iterate Production-Grade ML Applications
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4. Made with ML Learn how to design, develop, deploy and iterate on production-grade ML applications. Check this out:
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GenAI Agents: Tutorials and Implementations Guide
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3. GenAI Agents This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems. Check this out: