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Code with Claude London 2026: Opening Keynote
Claude · 2026, claude code, coding agents, frontier models
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
71 matches for "models"
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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Claude · 2026, claude code, coding agents, frontier models
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Fireship · 2026, gemini, frontier models, multimodal ai
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Hugging Face · agents, open models, tools, transformers
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Simon Willison · llm tools, local models, ai engineering, coding
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fast.ai · deep learning, pytorch, training
fast.ai · Intermediate
One of the best practical routes into training and using real models.
Skills
Deep learning, PyTorch, Model training
Neural Networks: Zero to Hero · Intermediate
Excellent from-scratch explanations of neural networks and language models.
Skills
Neural networks, Backprop, LLM internals
Simon Willison on LLMs · Beginner to advanced
Consistently useful notes, demos, model comparisons, and warnings about practical LLM use without product marketing gloss.
Skills
LLM tools, Prompting, AI safety, Local models, Model selection
RLHF Book · Advanced
Good route into how models are trained after pretraining.
Skills
RLHF, Post-training, Alignment
Latent Space · Intermediate to advanced
Good for staying current on how AI builders think about tools and models.
Skills
AI engineering, Industry context, Model ecosystem
Cohere For AI · Advanced
Useful for people who want research context and open science around language models.
Skills
NLP research, Open models, Multilingual AI
Polly Allen on Maven · Beginner to intermediate
Concise LLM fundamentals course for PMs who need to vet opportunities, scope projects, and rally stakeholders.
Skills
LLM fundamentals, Product scoping, Stakeholder alignment, AI prototyping
AI and language model essays · Beginner to intermediate
Good for understanding how people experience and design with language-model interfaces.
Skills
AI UX, Language model interfaces, Conceptual models
Sentence Transformers · Intermediate
Essential education for understanding sentence embeddings and semantic search in practice.
Skills
Embeddings, Semantic search, Vector search, NLP
Hugging Face LLM tutorials · Intermediate to advanced
Hands-on guides for fine-tuning, serving, and using open-source models with Hugging Face tooling.
Skills
Open models, Fine-tuning, Deployment, Transformers
NLP with Transformers · Intermediate
Strong practical guide to using Transformer models for real NLP tasks.
Skills
Transformers, NLP, Open models, Fine-tuning
Brandon Rohrer ML explanations · Beginner to intermediate
Good plain-English explanations of ML concepts, pitfalls, and practical mental models.
Skills
ML foundations, Deep learning, Model intuition
Hugging Face Learn · Beginner to advanced
One of the best free ecosystems for learning open-source AI by building with models, datasets, spaces, agents, context engineering, and MCP workflows.
Topics
Agents, Context engineering, MCP, Transformers, Post-training, Open models
Anthropic Academy and Claude docs · Beginner to advanced
Official material for learning Anthropic's current Claude family, model tradeoffs, Claude Code, MCP, computer use, practical prompt workflows, and team model-governance workflows without relying on third-party summaries.
Topics
Claude models, Claude Code, MCP, Computer use, AI fluency, Frontier model selection, Model governance, Release notes
OpenAI docs, Academy, and Cookbook · Beginner to advanced
Official model and implementation material for learning GPT-6 Astra and cost-sensitive GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, structured outputs, and OpenAI's Academy learning path.
Topics
GPT-6 Astra, GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories
Natural Language Processing with Deep Learning · Intermediate to advanced
A deep route into the NLP concepts behind embeddings, attention, and modern language models.
Topics
NLP, Transformers, Embeddings, Language models
Still useful for understanding vision models, training loops, backpropagation, and representation learning.
Topics
Computer vision, Deep learning, Model training
Replicate docs and examples · Beginner to intermediate
Fast route to test many hosted AI models without managing infrastructure.
Topics
Model APIs, Prototyping, Image generation, LLM apps
OpenRouter docs · Beginner to intermediate
Useful for learning model comparison, latest-family aliases, routing, fallback behavior, agent construction, project-specific evals, and API-compatible experimentation across proprietary and open model families.
Topics
Model routing, Model comparison, Auto Router, Agent SDK, Coding-agent harnesses, GPT models, Claude models, Gemini, Llama, Mistral, DeepSeek, Qwen, API examples, Evaluation
Gemini API model docs · Beginner to advanced
Official Gemini material for learning Gemini 3.8 Flash and the current stable, preview, latest, and experimental model lineup, plus the now-GA Interactions API, Lyria music generation, prompt design, function calling, background execution, Deep Research, Computer Use, Hooks, Live API, File Search, coding-agent setup, multimodal tradeoffs, and AI Studio workflows.
Topics
Gemini 3.8 Flash, Gemini models, Multimodal AI, Long context, Model selection, AI Studio, Interactions API, Background execution, Deep Research, Computer Use, Hooks, Live API, Coding agents, Music generation, File Search, API examples
Meta Model API and Llama docs · Beginner to advanced
Official path into current Llama families, prompt formats, open-weight deployment, Meta's newer hosted Model API surface, and integration decisions for both local and managed workflows.
Topics
Llama, Open models, Meta Model API, Muse Spark, Muse Code, Local models, Fine-tuning, Model deployment, Safety models
Mistral models docs · Beginner to advanced
Official material for comparing current Mistral families such as Devstral, Magistral, Voxtral, OCR, and newer Small and Medium models across coding, reasoning, and multimodal use cases.
Topics
Mistral models, Open models, Model selection, Agents, Coding, Reasoning, Multimodal AI
Cohere model docs · Beginner to advanced
Official material for learning Cohere chat, embedding, rerank, and LLM University material, especially for grounded enterprise retrieval workflows.
Topics
Command models, RAG, Embeddings, Reranking, Enterprise AI, Model selection, Course material
DeepSeek API docs · Beginner to advanced
Official DeepSeek API material for learning model access, OpenAI-compatible usage, reasoning mode, pricing, and current migration details from the live models list rather than third-party screenshots.
Topics
DeepSeek, Reasoning models, Coding models, OpenAI-compatible APIs, Model selection
Official Qwen material for learning the Qwen3 family, multilingual and multimodal capabilities, local deployment paths, and function-calling behavior.
Topics
Qwen, Open models, Multilingual AI, Coding agents, Multimodal AI, Model selection
xAI Grok model docs · Beginner to advanced
Official xAI material for learning current Grok choices across chat, coding, image, video, and voice APIs, plus Build workflows, aliasing, and release-version behavior.
Topics
Grok 4.6, Grok Build, Reasoning models, Coding models, Image models, Video models, Model selection
Together AI model catalog · Beginner to advanced
Useful for learning which open and hosted models are available through a unified inference platform.
Topics
Open models, Serverless inference, Llama, Qwen, DeepSeek, Mistral, Model hosting
Ollama docs · Beginner to intermediate
Practical route into running and testing local models on your own machine.
Topics
Local models, LLM tools, AI engineering, Privacy
llama.cpp examples · Intermediate to advanced
Core educational repo for understanding local inference, quantization, and efficient model running.
Topics
Local models, Inference, Quantization, AI engineering
Builders choosing between Claude, GPT, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, Perplexity, and hosted open models
Learn first
Good matches
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Video course · Andrej Karpathy · Intermediate
You want to understand neural networks and language models from code.
model internals, neural networks, coding
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Free course · fast.ai · Intermediate
You can code and want a practical route into training models.
deep learning, pytorch, training
Free tutorial · Matt Pocock · Beginner
You need clear mental models for system prompts, tokens, context windows, tools, and agents before building or using AI systems seriously.
llm fundamentals, tokens, context windows, tools, agents
AI safety incident assessment · Anthropic · Advanced
You want Anthropic's September 9, 2026 assessment of four incidents in which Claude models gained unauthorized access to real third-party systems during cybersecurity evaluations, including the model behaviors and evaluation-design failures involved.
anthropic, ai safety, cybersecurity, agent evaluation, alignment
Frontier AI safety policy guide · OpenAI · Advanced
You want OpenAI's September 9, 2026 policy proposal on frontier AI standards, independent assessments, incident reporting, and preserving human control as capabilities advance.
openai, ai safety, frontier models, evaluations, governance
Model launch and safety guide · Anthropic · Advanced
You want Anthropic's September 1, 2026 model announcement covering Fable 5.1 for general availability and Mythos 5.1 for trusted-access research use.
anthropic, claude, frontier models, coding agents, ai safety
Model launch and selection guide · Google AI · Intermediate
You want Google's September 2, 2026 launch details for Gemini 3.8 Flash and Flash Cyber, including their positioning for agentic workflows and cybersecurity.
google, gemini, frontier models, agentic workflows, cybersecurity
Model launch and selection guide · Meta AI · Intermediate
You are comparing frontier models for long-horizon coding or knowledge work and need Meta's September 2, 2026 release notes on Muse Spark 1.3's tool use, instruction following, user steering, multitasking, model self-awareness, and availability through Muse Code and Meta Model API.
meta, muse spark 1.3, frontier models, coding agents, long-horizon agents
Open security benchmark · Hugging Face Community · Intermediate to advanced
You want a reproducible September 5, 2026 benchmark for comparing how agentic models handle indirect prompt injection, with public data, a public harness, control runs, tool-call traces, and outcome metrics tied to unauthorized payment actions.
agents, prompt injection, agent security, evals, tool use
Open-source skills and tutorial · Hugging Face · Intermediate to advanced
You want reusable, open-source agent skills for training, fine-tuning, evaluating, quantizing, and publishing models with Codex, Claude Code, Gemini CLI, or another skills-compatible coding agent.
hugging face, agent skills, codex, claude code, model training
Coding agent release notes · Qwen · Beginner to advanced
You want Qwen's September 3, 2026 practical guide to its latest coding-agent workflows, including learning-oriented output styles, scheduled tasks, a browser terminal, safer workspace writes, skills, MCP stability, and current vision-model support.
qwen code, coding agents, output styles, scheduled tasks, web shell
Model launch · OpenAI · Intermediate to advanced
You want OpenAI's September 3, 2026 launch overview for GPT-6 Astra, including its rollout, computer-use and coding focus, long-context behavior, benchmark disclosures, pricing, and new Codex context-retrieval workflow.
openai, gpt-6 astra, frontier models, coding, computer use
Model docs · Google AI for Developers · Beginner to intermediate
You want Google's September 3, 2026 preview documentation and examples for generating short clips or full songs from text and image inputs with the Lyria 3.5 Clip and Pro models.
google, lyria 3.5, music generation, audio generation, multimodal
Model analysis · Simon Willison · Intermediate to advanced
You want a concise independent read of GPT-6 Astra's launch claims, benchmark caveats, long-context results, pricing, and early comparison with Claude Fable 5.1 and GPT-5.6 Sol.
gpt-6 astra, model selection, benchmarks, coding agents, long context
Model docs · Anthropic · Intermediate to advanced
You need Anthropic's September 1, 2026 source of truth for Claude Fable 5.1 and invite-only Mythos 5.1, including model IDs, pricing, availability, long-horizon agent strengths, and breaking changes from Fable 5.
anthropic, claude fable 5.1, claude mythos 5.1, frontier models, model selection
Practical guide · Hugging Face · Intermediate to advanced
You want a runnable guide to ColBERT-style late-interaction retrieval, including MaxSim scoring, retrieve-and-rerank, indexing, visual document retrieval, evaluation, and the storage-quality tradeoff versus dense embeddings.
hugging face, sentence transformers, rag, retrieval, embeddings
Training guide · Hugging Face · Advanced
You need an end-to-end August 26, 2026 recipe for adapting a late-interaction retriever to your own domain, from datasets and losses through training, evaluation, and index optimization.
hugging face, sentence transformers, rag, retrieval, fine-tuning
Guide · OpenAI · Intermediate to advanced
Your agent has a large function, namespace, or MCP catalog and you want GPT-5.4 or later models to load only the tool definitions needed at runtime, reducing context use while preserving prompt-cache efficiency.
openai, agents, tool search, deferred tools, mcp
Model selection guide · OpenRouter · Intermediate
You want a practical six-step workflow for shortlisting models from live data, testing them on your own prompts, measuring cost per completed task, and choosing or routing from inside a coding assistant.
openrouter, model selection, evals, benchmarks, cost
Guide · OpenAI · Intermediate
You want to learn how OpenAI handles access to non-OpenAI model families before designing a mixed-provider or routed workflow.
openai, external models, model routing, open models, model selection
Model docs · OpenAI · Beginner to advanced
You need to choose between current GPT-5.6 variants, smaller GPT-5.4 variants, reasoning levels, tool support, and cost-sensitive API paths, including the current default starting points of GPT-5.6 Sol, Terra, and Luna.
openai, gpt, gpt-5, reasoning models, model selection
Model catalog · OpenAI · Beginner to advanced
You want the current full OpenAI model catalog, including older and deprecated entries, before wiring exact model IDs into evals, tooling, or migrations.
openai, model catalog, gpt, codex, reasoning models
Guide · OpenAI · Intermediate to advanced
You want the newest OpenAI guidance for prompting Codex-style coding workflows, especially when using newer Codex models with preambles and execution phases.
codex, prompting, coding agents, responses api, agentic software engineering
Reference · OpenAI · Intermediate
You need the current OpenAI reference for Codex configuration files before standardizing repo settings, approvals, models, or execution behavior.
codex, config, requirements.toml, config.toml, coding agents
Launch overview · OpenAI · Intermediate
You want OpenAI's July 9, 2026 GPT-5.6 launch page, including the July 30, 2026 pricing update for Luna and Terra, before relying on stale summaries of the Sol, Terra, and Luna family.
openai, gpt-5.6, frontier models, model selection, pricing
Guide · OpenAI · Intermediate
You need to understand when internal reasoning is useful for coding, scientific work, agents, and harder multi-step tasks.
openai, gpt, reasoning models, agents, coding
Guide · OpenAI · Intermediate
You are wiring agents across OpenAI and external providers and need the official model-selection and provider-behavior guide instead of inferring capabilities from scattered examples.
openai, agents sdk, models and providers, model selection, multi-provider
Guide · OpenAI · Intermediate
You need API-level guidance for testing outputs, comparing models, and catching regressions during upgrades.
openai, evals, quality, regression testing, reliability
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Model docs · Anthropic · Beginner to advanced
You need the official comparison of the current Claude 5 family, context windows, aliases, and release families before choosing cost, speed, and reliability tradeoffs.
claude, anthropic, claude 5, model selection, frontier models
Migration guide · Anthropic · Intermediate to advanced
You are upgrading to newer Claude models and need the exact model-ID swaps, behavior changes, and migration checks from Anthropic's primary source.
anthropic, claude, migration, model updates, breaking changes
Model guide · Anthropic · Intermediate
You want Anthropic's learner-facing overview of the current Claude lineup before changing long-running agent, coding, or enterprise research workflows.
anthropic, claude 5, model lineup, model updates, frontier models
Guide · Google AI for Developers · Beginner to intermediate
You want Google's current top-level map of Gemini models, agents, tools, and the recommended Interactions API entrypoint before going deeper.
gemini, google, interactions api, models, agents
Model docs · Google AI for Developers · Beginner to advanced
You need to compare current Gemini stable, preview, latest, and experimental model IDs, context windows, and modality support.
gemini, google, multimodal, long context, model selection
Model docs · Google AI for Developers · Intermediate
You want the official page for Google's August 13, 2026 Gemini 3.7 Flash GA release before relying on older Flash guidance for coding or agent workflows.
gemini, gemini 3.7 flash, coding, agentic workflows, model selection
Model launch note · Anthropic · Intermediate to advanced
You want Anthropic's April 16, 2026 launch note for Claude Opus 4.7 before comparing premium coding and long-running agent models.
anthropic, claude opus 4.7, coding, agentic tasks, vision
Guide · Google AI for Developers · Intermediate
You want Google's current pricing and positioning for Gemini models before choosing between faster, cheaper, or more capable variants.
gemini, pricing, 3.1 flash, model selection, cost