Large Language Models

If you follow Yann LeCun, you know he frequently argues that auto-regressive LLMs are a dead-end for reaching true world intelligence… Continue reading on Level

The better my questions became, the more useful ChatGPT’s answers became. Continue reading on ChatGPT & Beyond »

I've been evaluating LiteLLM's Datadog integration in a test environment, and it looks much more comprehensive than I expected. Beyond basic logging, it include

Mostly /s but, I mean….. I’m no CEO…. but it seems like this would be the absolute perfect time to drop a super powerful GPT-OSS

A practical guide to consolidating LLM provider access for individual developers and platform teams. Continue reading on Data Science Collective »

We all know how powerful llms have become and in next 4 months we would probably have models far smarter than current models. Continue reading on Medium »

An execution-based telemetry study evaluating 22 open-weights code models across functional correctness, structural fidelity, and hardware… Continue reading on

An execution-based telemetry study evaluating 22 open-weights code models across functional correctness, structural fidelity, and hardware… Continue reading on

SaaS teams invest heavily in SEO with a clear goal. Rank higher, drive traffic, and generate leads. Yet many still struggle to show up… Continue reading on Medi

I used to think bigger models were always the answer. After deploying real AI applications, I realized that smaller language models often… Continue reading on A

OpenAI's kindle-alpha and GPT-Bidi-1 are nearly here. Here's what the leaks, routing logs, and early demos actually tell us — and what's still speculation.

Most Shopify brands optimising for AI search are asking the wrong question. They are asking “how do I rank better?” when they should be… Continue reading on Med

One of the most overlooked attack surfaces in production LLM deployments is the output channel. Why Output Matters An LLM can produce harmful output through suc

If you’ve ever wondered why ChatGPT sometimes “knows” things and sometimes needs access to your company’s data, this article is for you. Continue reading on Med

Claude Code is currently one of the major coding AI harnesses, if not the major one. Many organizations choose to use Claude Code not through Anthropic plans bu

Why every bad final output should not automatically be blamed on the model. Continue reading on Medium »

In this post, we show how pairing Amazon Nova 2 Lite with Anthropic’s Claude Sonnet 4.6 delivers an efficient solution for digitizing scanned documents at scale

AI Product Lead Lokesh builds production RAG, knowledge graph, and agentic AI systems for enterprise clients, and writes about what he learns along the way. In

Every AI lab swears they built “the world’s best model.” Their MMLU scores are all within 2% of each other. So how do you actually tell… Continue reading on Med

In this post, we show you how PAR built a production-ready multi-tenant LLM analytics system that enforces row-level security through a three-layer architecture

In Part 1, we saw how a 7-million parameter Tiny Recursive Model (TRM) beat billion-parameter LLMs on hard reasoning benchmarks — not by… Continue reading on Me

There is a line in OpenAI’s GPT-5.6 announcement that matters more than any benchmark in it. Continue reading on Neural Notions »

Every week in AI feels big. But some weeks, if you look past the product launches and funding rounds, you can spot something structural… Continue reading on Med

How pose estimation, biomechanics heuristics, and LLM coaching come together in a Dockerized full-stack MVP. Continue reading on Medium »

How pose estimation, biomechanics heuristics, and LLM coaching come together in a Dockerized full-stack MVP. Continue reading on Medium »

For years, Prompt Engineering has been considered the secret to getting better results from Large Language Models (LLMs). Teams focused on… Continue reading on

Sakana AI, a Tokyo-based AI lab, released Fugu Ultra on June 22, 2026 (sakana.ai/fugu-release). The product page calls it a model that… Continue reading on Code

In November 2024, two engineers at Anthropic open-sourced a protocol that came out of an internal hackathon. By April 2025, it had crossed… Continue reading on

When people see tools like Cursor, Perplexity, Notion AI, or GitHub Copilot, they often assume these companies have built their own AI… Continue reading on Medi

OpenAI's GPT-5.6 Sol achieves competitive security AI performance with one-third token consumption. Red teams analyze offensive implications: restrict

I expected AI to save me time, but I didn't expect it to change how I approach problems. I find myself breaking ideas into smaller steps, asking better question

After learning about Transformers, Self-Attention, Positional Encoding, and the difference between Encoders and Decoders, I finally had… Continue reading on Med

Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding This is an interesting new open weights (MIT licensed) model, the first model release from DeepReinforce. [

Most prompts do not fail because the model is dumb. They fail because the prompt is vague — it leaves the model to guess the role, the format, and the edge case

OpenAI has officially unveiled its next-generation AI family: GPT-5.6 Sol, Terra, and Luna. Here's what these groundbreaking models mean… Continue reading on Me

A new partnership between metaverse startup VLGE and data firm Protege leverages natural human behavioral data from virtual environments to build training sets.

Bir dil modeli size son derece akıcı, ikna edici ve teknik olarak kusursuz görünen bir cevap verdiğinde, ilk içgüdünüz büyük ihtimalle ona… Continue reading on

Building a small command center with ZipperGen Continue reading on Medium »

How I built a Retrieval-Augmented Generation system for code review and resume generation — and why avoiding hosted LLMs was the right… Continue reading on Medi

How I built a Retrieval-Augmented Generation system for code review and resume generation — and why avoiding hosted LLMs was the right… Continue reading on Medi

How I built a Retrieval-Augmented Generation system for code review and resume generation — and why avoiding hosted LLMs was the right… Continue reading on Medi

How I built a Retrieval-Augmented Generation system for code review and resume generation — and why avoiding hosted LLMs was the right… Continue reading on Medi

A few months ago, our CEO came to us one day with that look. You know the one. The “I’ve seen the future, and we need to pivot” look. The… Continue reading on M

Building a Self-Healing Multi-Step Generation Pipeline for Production AI Continue reading on Medium »

Building a Self-Healing Multi-Step Generation Pipeline for Production AI Continue reading on Medium »

Most AI platform ideas die in the planning phase, buried under scope creep, vendor lock-in, and endless back-and-forth. This one didn’t. Continue reading on Med

Claude created extreme bureaucracy, Gemini chose arson, ChatGPT starved, and Grok… well  Continue reading on The Copy Files »

Every LangGraph HITL tutorial uses Streamlit. Here’s how interrupt() and Command actually work behind a React + FastAPI app — two… Continue reading on Predict »