🤖 AI - mmm18ix · Scour

SLUUG Talk: Demystifying Large Language Models on Linux

🧠LLMs Code

github.com··DEV

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

✍️Prompt Engineering Blog

towardsai.net·

The Emergence of Reproducibility and Generalizability in Diffusion Models

🧠LLMs Academic

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

✍️Prompt Engineering Blog

blogs.sas.com·

The Rise of Agentic AI: What Every Engineer Should Learn

🤖Agents Blog

Conversational AI vs generative AI: What's the difference?

✍️Prompt Engineering

BacteReason: A Reasoning Model for Antimicrobial Resistance Prediction

🧠LLMs Academic

Introducing the Third Generation of Apple’s Foundation Models

machinelearning.apple.com··Hacker News, r/apple

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

aermia.com··Hacker News

Melanie Mitchell: What We Get Wrong About AI

✍️Prompt Engineering

yalereview.org··Substack, Hacker News, Hacker News

Deep Learning Weekly: Issue 458

deeplearningweekly.com·

Report: GKE Inference Gateway delivers up to 92% faster AI responses

🧠LLMs Blog

cloud.google.com··Hacker News

Foundation Models: Apple Isn’t Building an AI Model. It’s Building an AI Platform.

🧠LLMs Blog

"Optimal Cognitive Core"- specialized 1.7B model for grounded question answering

✍️Prompt Engineering

huggingface.co··Hacker News

Why Shrinking an AI Model Often Makes It More Useful

siliconopera.com·

MongoDB as a Vector Database for AI Agents-MongoDB

LLM Observability: What To Instrument and How To Act on It

✍️Prompt Engineering Blog

RAG Pipeline Explained: From Query to Answer, Step by Step

✍️Prompt Engineering Blog

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Why AI Projects Fail Even After Achieving High Accuracy: Lessons from Machine Learning and RAG…

🧠LLMs Blog

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AI Paper Review: Training Language Models to Follow Instructions with Human Feedback (InstructGPT)

freecodecamp.org·

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