#llm
Llm: 36 AI articles covering llm news, analysis, and research
Articles
Token Costs Become the New EDA Budget Battleground⭐8
Token-based pricing for AI features in EDA tools is becoming a budget concern, pushing chip designers to optimize usage as costs rival traditional software lice...
OpenAI's Astra Model: A Powerful New Tool for Cybersecurity—and⭐7
OpenAI's Astra model can autonomously hack system vulnerabilities, raising security concerns. Learn about its capabilities, safety measures, and industry reacti...
5 AI Skills That Will Keep Data Scientists Relevant in 2027⭐10
5 AI skills that will keep data scientists relevant in 2027: retrieval, routing, guardrails, evals, and agent loops, with runnable Python code.
FAQ as RAG: When You Get to Design the Corpus⭐10
FAQ as RAG rethinks retrieval when the corpus is Q&A pairs: parsing becomes trivial, retrieval works as a cache, and few-shot prompting turns into a lookup prob...
How to Get Reliable Structured Data Out of an LLM⭐10
Reliable structured data from LLMs requires enforced schemas, validation, and smart retry loops to prevent JSON parsing failures.
Is Agentic AI Just Automation?⭐10
Determining whether agentic AI is truly intelligent or just advanced automation, with a real-world test to separate hype from substance.
10 Positions for Enterprise RAG That Mainstream Tutorials Get Wrong⭐8
Enterprise RAG systems fail when tutorials oversimplify. This guide reveals 10 expert positions on structure-first retrieval, rerankers, and enterprise-scale ch...
AI Agents Don’t Need More Context — They Need Typed Context⭐10
Why AI agents fail from type confusion in prompts—learn how typed context prevents instruction contamination and improves observability.
Kimi K3's 1M Token Context Window vs. RAG: Cost, Latency and⭐9
Comparing Kimi K3’s 1M token context to RAG across cost, latency, and answer quality in a blind test.
Create a Reasoning-Focused LLM: A Practical Guide to Streaming,⭐9
Learn to build a reasoning-focused LLM with SupraLabs corpus: stream, filter, fine-tune SmolLM2 with LoRA, and export structured outputs.