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A Developer’s Guide to Systematic Prompting: Mastering Negative Constraints, Structured JSON Outputs, and Multi-Hypothesis Verbalized Sampling
Most developers treat prompting as an afterthought—write something reasonable, observe the output, and iterate if needed. That approach works until reliability becomes critical. As LLMs move into production systems, the difference between a prompt that usually works and one that works consistently b...
In Harvard study, AI offered more accurate emergency room diagnoses than two human doctors
A new study examines how large language models perform in a variety of medical contexts, including real emergency room cases — where at least one model seemed to be more accurate than human doctors.
A model can behave perfectly one moment and degrade the next—without any change to your data, pipeline, or logic. The root cause often lies in something far more subtle: how your input is tokenized. Before a model processes text, it converts it into token IDs, and even minor formatting differences—l...
A Coding Guide on LLM Post Training with TRL from Supervised Fine Tuning to DPO and GRPO Reasoning
In this tutorial, we walk through a complete, hands-on journey of post-training large language models using the powerful TRL (Transformer Reinforcement Learning) library ecosystem. We start from a lightweight base model and progressively apply four key techniques: Supervised Fine-Tuning (SFT), Rewar...
AI Quantum Intelligence - Pic of the week (2026-05-01)
A conceptual artwork exploring the synergy between AI technology and human flourishing through abstract oil painting techniques, featuring themes of digital dividends and social benefit.
Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Length Batching and H20 Benchmarks
Moonshot AI releases FlashKDA, a high-performance implementation of Kimi Delta Attention that plugs directly into the flash-linear-attention ecosystem — and benchmarks show it's meaningfully faster.
The post Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Le...
Sources: Anthropic potential $900B+ valuation round could happen within two weeks
Anthropic is asking investors to submit allocations for the AI company’s latest fundraise within the next 48 hours, according to sources familiar with the matter.
I Was Wrong About Vector Databases. PageIndex Just Proved It at 98.7%.
A 200-line open-source repo smoked GPT-4o, Perplexity, and every vector RAG benchmark. No embeddings. No chunking. Here’s what it actually…Continue reading on Medium »
The Monitoring Pipeline, With One Prediction Tracked Across 30 Days of Silence (Part 5)
Part 4 — https://medium.com/@mittalutkarsh/the-training-pipeline-with-one-row-flowing-through-every-stage-part4-2797aa2e6c2dContinue reading on Medium »