ContentPosts from @sachin_nagesh..
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@faun shared a link, 4 months, 2 weeks ago

From Noise to Structure: Building a Flow Matching Model from Scratch

Train a petite neural net to align velocity flows between distributions. DeployFlow Matching lossfor the job. Harness the precision of theAdamoptimizer to keep it sharp... read more  

From Noise to Structure: Building a Flow Matching Model from Scratch
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@faun shared a link, 4 months, 2 weeks ago

EU businesses push for freedom from AI rules and competition

Mistral's"AI for Citizens" isn't just about tech; it's about shaking up public services for the better. Meanwhile, in the EU, a plot twist—50 European firms holler for halting the AI Act, all in the name of staying competitive. They argue speed matters more than red tape. But hey, watchdogs eye them.. read more  

EU businesses push for freedom from AI rules and competition
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@faun shared a link, 4 months, 2 weeks ago

Gemma 3n Introduces Novel Techniques for Enhanced Mobile AI Inference

Gemma 3nshakes up mobile AI with a two-punch combo:Per-Layer Embeddingsthat axe RAM usage andMatFormerthat sends performance into overdrive with elastic inference and nesting.KV cache sharingcranks up the speed of streaming responses, though it taps out at multilingual audio processing for clips up .. read more  

Gemma 3n Introduces Novel Techniques for Enhanced Mobile AI Inference
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@faun shared a link, 4 months, 2 weeks ago

Document Search with NLP: What Actually Works (and Why)

NLP document search trounces old-school keyword hunting. It taps into scalable*vector databasesandsemantic vectorsto grasp meaning, not just parrot words.* Pictureword vector arithmetic: "King - Man + Woman = Queen." It's magic. Searches become lightning-fast and drenched in context... read more  

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@faun shared a link, 4 months, 2 weeks ago

My Honest Advice for Aspiring Machine Learning Engineers

Becoming a machine learning engineer requires dedicatingat least 10 hours per weekto studying outside of everyday responsibilities. This can take a minimum of two years, even with an ideal background, due to the complexity of the required skills. Understanding core algorithms and mastering the funda.. read more  

My Honest Advice for Aspiring Machine Learning Engineers
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@faun shared a link, 4 months, 2 weeks ago

Building tiny AI tools for developer productivity

Tiny AI scripts won't make you the next tech billionaire, but they're unbeatable for rescuing hours from the drudgery of repetitive tasks. Whether it's wrangling those dreadedGitHub rollupsor automating the minutiae, these little miracles grant engineers the luxury to actually think... read more  

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@faun shared a link, 4 months, 2 weeks ago

Building “Auto-Analyst” — A data analytics AI agentic system

DSPyfuels a modular AI machine, drivingagent chainsto weave tidy analysis scripts. But it’s not all sunshine and roses—hallucination errors like to throw reliability under the bus... read more  

Building “Auto-Analyst” — A data analytics AI agentic system
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@faun shared a link, 4 months, 2 weeks ago

MCP — The Missing Link Between AI Models and Your Applications

Model Context Protocol (MCP)tackles the "MxN problem" in AI by creating a universal handshake for tool interactions. It simplifies howLLMstap into external resources. MCP leans onJSON-RPC 2.0for streamlined dialogues, building modular, maintainable, and secure ecosystems that boast reusable and inte.. read more  

MCP — The Missing Link Between AI Models and Your Applications
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@faun shared a link, 4 months, 2 weeks ago

Context Engineering for Agents

Context engineeringcranks an AI agent up to 11 by juggling memory like a slick OS. It writes, selects, compresses, and isolates—never missing a beat despite those pesky token limits. Nail the context, and you've got a dream team. Slip up, though, and you might trigger chaos, like when ChatGPT went r.. read more  

Context Engineering for Agents
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@faun shared a link, 4 months, 2 weeks ago

A non-anthropomorphized view of LLMs

CallingLLMssentient or ethical? That's a stretch. Behind the curtain, they're just fancy algorithms dressed up as text wizards. Humans? They're a whole mess of complexity... read more Â