Core AI
Large Language Models
Deep dives into GPT, Claude, Gemini, Llama and the transformers powering modern AI
Skills in this topic
5 skills — Sign in to track your progress
LLM Foundations
beginner
Explain how transformers generate text
Prompt Craft
beginner
Write zero-shot and few-shot prompts
LLM Engineering
intermediate
Call LLM APIs with function/tool use
Fine-tuning LLMs
advanced
Prepare fine-tuning datasets
Multimodal LLMs
advanced
Use GPT-4V / Claude Vision for image understanding
All Reads (29,992)
Articles (12750)Blog Posts (5674)Tutorials (2453)Research Papers (8239)News (876)

Medium · RAG
🧠 Large Language Models
⚡ AI Lesson
1w ago
Open Knowledge Format (OKF) vs Retrieval-Augmented Generation (RAG): The Future of AI Knowledge…
Why AI needs more than retrieval — and how Open Knowledge Format changes the game. Continue reading on Medium »

Medium · AI
🧠 Large Language Models
⚡ AI Lesson
1w ago
Why Training TTS for Indian Languages Is a Different Engineering Problem Entirely
From the desk of someone who’s spent too long debugging schwa deletion — Kupe AI Continue reading on Medium »
Medium · Machine Learning
🧠 Large Language Models
⚡ AI Lesson
1w ago
Vector Databases — The Missing Piece in the RAG Puzzle
Vector databases store meaning-numbers and find close matches — the retrieval shelf behind most RAG systems. Continue reading on Medium »

Dev.to · Cecilia Hill
🧠 Large Language Models
⚡ AI Lesson
1w ago
LangChain Search Tool: Building an AI Agent with Live SERP Data
Build a LangChain agent that can search live SERP data, clean the results, and answer with fresher context instead of relying only on model memory.

Medium · ChatGPT
🧠 Large Language Models
⚡ AI Lesson
1w ago
I Tried Courses, YouTube, Books, and AI Tutors. Here’s What Helped Me Learn AI Faster.
If you had asked me a year ago for the best way to learn AI faster, I probably would have given you a very long list of resources. Continue reading on Medium »

Medium · Machine Learning
🧠 Large Language Models
⚡ AI Lesson
1w ago
AI Is No Longer Just a Tool — It’s Becoming a Partner
Loop Engineering, Open Models, On-Device AI, Smarter Biology, and the Education Shift That’s Changing Everything Continue reading on TechCraft Chronicles »

Dev.to · DoremonAI
🧠 Large Language Models
⚡ AI Lesson
1w ago
OpenAI's GPT-5.6 Trio (Sol, Terra, Luna) Lands — and HP Just Bet the Company on Frontier (June 29, 2026)
OpenAI drops GPT-5.6 Sol/Terra/Luna while HP signs a massive Frontier partnership — June 29's double story redefines enterprise AI.
Medium · LLM
🧠 Large Language Models
⚡ AI Lesson
1w ago
Evals of LLM systems — a primer
Evaluating complex AI systems, focusing on the mechanics of debugging non-deterministic pipelines, architecting LLM-as-a-Judge frameworks… Continue reading on M

Medium · LLM
🧠 Large Language Models
⚡ AI Lesson
1w ago
15 Metrics Every AI Builder Should Track Before Shipping an LLM App Part 1
“The AI is working.” — That was my answer whenever a client asked me if the chatbot was ready. Continue reading on Medium »

Medium · ChatGPT
🧠 Large Language Models
⚡ AI Lesson
1w ago
15 Metrics Every AI Builder Should Track Before Shipping an LLM App Part 1
“The AI is working.” — That was my answer whenever a client asked me if the chatbot was ready. Continue reading on Medium »
Medium · LLM
🧠 Large Language Models
⚡ AI Lesson
1w ago
Dijital Dünyada Yapay Zeka — Bölüm III: Klasik ML Hala Hayatta mı? LLM Projeleri Nasıl Yürür?
İlk iki bölümde yapay zekanın temellerini, makine öğrenmesi türlerini ve bir ML projesinin nasıl yürüdüğünü ele aldık. Bu bölümde ise… Continue reading on Mediu
Reddit r/deeplearning
🧠 Large Language Models
⚡ AI Lesson
1w ago
Anyone running SALMs in production? (Voxtral style models) Looking for training recipes and open-source implementations
I'm curious whether anyone here is actually running SALMs in production today, or actively experimenting with them. A reasonable starting point seems to be some

Medium · Data Science
🧠 Large Language Models
⚡ AI Lesson
1w ago
I Put Baidu’s “Read a Whole Book in One Pass” OCR Model on an A100 — Here’s What the Numbers…
Unlimited-OCR claims a KV cache that never grows. The headline holds — with one caveat the hype skips. Continue reading on Medium »

Medium · RAG
🧠 Large Language Models
⚡ AI Lesson
1w ago
Why RAG still beats fine-tuning for most teams?
The debate keeps treating fine-tuning as the advanced move. The data says it’s usually the wrong tool for the job teams hire it to do. Continue reading on Mediu

Medium · Data Science
🧠 Large Language Models
⚡ AI Lesson
1w ago
Why LLMs Still Aren’t Scientists?
Six AI agents tried real ML research. Three failed. All of them said they succeeded. Continue reading on AI Advances »

Medium · Deep Learning
🧠 Large Language Models
⚡ AI Lesson
1w ago
Why LLMs Still Aren’t Scientists?
Six AI agents tried real ML research. Three failed. All of them said they succeeded. Continue reading on AI Advances »

Medium · Deep Learning
🧠 Large Language Models
⚡ AI Lesson
1w ago
Model Training
From Raw Data to Reasoning Machines — Everything You Need to Know About LLM Training Continue reading on Data Science Collective »

Medium · LLM
🧠 Large Language Models
⚡ AI Lesson
1w ago
What is RAG? Why LLMs Need External Memory
Imagine you work at a company and ask an AI assistant: “What is our latest work-from-home policy?” A standard Large Language Model (LLM)… Continue reading on Me

Medium · RAG
🧠 Large Language Models
⚡ AI Lesson
1w ago
What is RAG? Why LLMs Need External Memory
Imagine you work at a company and ask an AI assistant: “What is our latest work-from-home policy?” A standard Large Language Model (LLM)… Continue reading on Me

Medium · Data Science
🧠 Large Language Models
⚡ AI Lesson
1w ago
Your AI Isn’t Stupid. It’s Just Reading the Wrong Stuff.
Most hallucinations don’t start inside the LLM, they start long before the model generates a single word. Continue reading on Medium »

Medium · Programming
🧠 Large Language Models
⚡ AI Lesson
1w ago
9 AI Concepts That Put You Ahead
Most people are still talking about “prompting.” The people building real things have moved on to a different vocabulary entirely. Continue reading on Medium »

Medium · Deep Learning
🧠 Large Language Models
⚡ AI Lesson
1w ago
What exactly is RLHF? How models learn to be helpful (and how DPO simplifies it)
A pretrained language model can write fluent text, but it has no idea what we actually want from it. Ask it to explain gravity to a… Continue reading on Medium

Medium · LLM
🧠 Large Language Models
⚡ AI Lesson
1w ago
What exactly is RLHF? How models learn to be helpful (and how DPO simplifies it)
A pretrained language model can write fluent text, but it has no idea what we actually want from it. Ask it to explain gravity to a… Continue reading on Medium

Medium · LLM
🧠 Large Language Models
⚡ AI Lesson
1w ago
Your LLM Lies Confidently. I Built an Engine That Doesn’t.
This one builds the engine, a self-correcting prompting system in Python that fact-checks its own claims. Part two of a series on building… Continue reading on
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
AI-Model Network: Concept, Current State and Future
arXiv:2606.27382v1 Announce Type: new Abstract: While the primary function of computers lies in computation and processing, the core value of the Internet is ro
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models
arXiv:2606.27593v1 Announce Type: new Abstract: We introduce a categorical framework called ODYSSEY for constructing verifiable, local truth-preserving foundati
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
arXiv:2606.27619v1 Announce Type: new Abstract: Dyslexic learners increasingly use artificial intelligence (AI) tools to support reading, writing, organisation,
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy
arXiv:2606.27652v1 Announce Type: new Abstract: We find that explicit reasoning does not necessarily translate into better multimodal emotion recognition (MER)
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation
arXiv:2606.27736v1 Announce Type: new Abstract: The rapid spread of fake news poses increasing threats to information ecosystems, especially as AI-generated mis
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents
arXiv:2606.27806v1 Announce Type: new Abstract: World models for language agents come in two useful forms. An agent-based world model calls an LLM API and reaso
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning
arXiv:2606.27826v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) are increasingly deployed as embodied planners in egocentric environmen
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
RelBall: Relation Ball with Quaternion Rotation for Knowledge Graph Completion
arXiv:2606.27967v1 Announce Type: new Abstract: Real-world knowledge graphs are often incomplete, lacking many valid facts. Knowledge Graph Completion (KGC) aim
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications
arXiv:2606.28070v1 Announce Type: new Abstract: JD.com, one of the world's largest e-commerce platforms, serves over 700 million active users and millions of me
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Ontology-Guided Evidence Path Inference for Multi-hop Knowledge Graph Question Answering
arXiv:2606.28076v1 Announce Type: new Abstract: Knowledge graph question answering (KGQA) aims to answer natural-language questions by reasoning over structured
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Position: The Term "Machine Unlearning" Is Overused in LLMs
arXiv:2606.27379v1 Announce Type: cross Abstract: Large language models increasingly face demands to "forget" training data, knowledge, or behaviors due to regu
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
CalBrief: A Pilot Diagnostic Benchmark for Evidence-Calibrated Scientific Briefing with Large Language Models
arXiv:2606.27383v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as research assistants, yet it remains unclear whether they
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Towards Evaluation of Implicit Software World Models in Coding LLMs
arXiv:2606.27406v1 Announce Type: cross Abstract: Software engineering, whether performed by humans or by AI agents, requires reasoning about how software behav
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder
arXiv:2606.27411v1 Announce Type: cross Abstract: We study a quantum autoencoder (QAE) for compression-driven anomaly detection in brain MRI data. The approach
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents
arXiv:2606.27472v1 Announce Type: cross Abstract: Large language model (LLM) agents operate over long, multi-session interactions in which facts change: a user
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Speculative Refinement: A Hybrid Autoregressive Diffusion Decoding Strategy and Its Behavior Across Benchmarks
arXiv:2606.27474v1 Announce Type: cross Abstract: How should we evaluate generation systems that combine autoregressive (AR) and diffusion decoding? We study th
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection
arXiv:2606.27499v1 Announce Type: cross Abstract: Research on agent memory has matured rapidly, but almost entirely on the text side: few existing benchmarks as
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
arXiv:2606.27527v1 Announce Type: cross Abstract: Large Language Models (LLMs) possess broad conceptual knowledge acquired through large-scale text pretraining,
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
The Context-Ready Transformer
arXiv:2606.27538v1 Announce Type: cross Abstract: We introduce the context-ready transformer, a new recurrent neural network architecture built from a D-layer t
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models
arXiv:2606.27567v1 Announce Type: cross Abstract: Prompt injection is the top security risk for LLM-integrated applications, yet every defense proposed so far h
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration
arXiv:2606.27578v1 Announce Type: cross Abstract: Reward models for Reinforcement Learning from Human Feedback (RLHF) pool preferences across thousands of annot
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding
arXiv:2606.27596v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) exhibit sophisticated reasoning but remain susceptible to object hallucin
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing
arXiv:2606.27598v1 Announce Type: cross Abstract: Ultra-fine entity typing (UFET) assigns highly specific types to entity mentions, but current approaches strug
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
1w ago
HybridCodec: Modeling Discrete and Continuous Representations for Efficient Speech Language Models
arXiv:2606.27627v1 Announce Type: cross Abstract: Discrete audio representations have become increasingly popular for building multimodal text-audio systems and
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