Microsoft released an AI powered data analysis tool! Data Formulator is an AI-powered tool for analysts to iteratively create rich visualizations. It's no-code & 100% open-source
@sumanth_077
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Stanford CS336: Building Large Language Models from Scratch
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Stanford CS336: Large Language Models from Scratch! This is a comprehensive course on LLMs, covers the full process of building one from scratch, including data collection, pretraining, transformer architecture, training, evaluation, and deployment.
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Rethinking Agent Architecture: New Design Paradigms Emerge
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If you're building agents, now is the time to rethink the architecture. Checkout the Paper here:
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Adopting SLMs without rearchitecting your entire stack
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Adopt SLMs without rearchitecting your entire stack: → Start by auditing where LLMs are used and which tasks can be offloaded → Use distillation and fine-tuning to train SLMs on those subtasks → Gradually replace LLMs with SLMs in your pipeline, monitor, and optimize
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SLMs Improve Rapidly Migration From LLMs Easier Than Expected
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A few takeaways: 1. SLMs are improving rapidly, even at the same parameter size 2. Migrating from LLMs to SLMs is easier than expected
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SLMs Over LLMs: Better Choice for Agentic AI Systems
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Here’s why SLMs are a better choice for agentic AI: • High task accuracy on focused, repetitive tasks • Lower memory usage and faster inference • Huge cost savings over time • Easy to slot into a hybrid setup with LLMs for general reasoning
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Small Language Models: Faster, Cheaper Alternatives for Agent Pipelines
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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.
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Small Language Models Drive Future Agentic AI Systems
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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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GPT-5 Code Generation Evaluation and Testing Results
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I've been testing GPT-5 for general reasoning and other tasks, and it’s not great there, but I haven’t tested it for code generation yet. From this eval, it looks like the model is marginally better. Definitely going to try it out. Thanks for the code, Akshay!
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Microsoft Launches Free 21-Lesson Generative AI Course
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Microsoft launched the best course on Generative AI! The Free 21 lesson course is available on Github and will teach you everything you need to know to start building Generative AI applications.