Andy Crestodina
Orbit Media · Beginner to intermediate
Practical marketing education that includes AI workflows for content, analytics, and website improvement.
Skills
AI content, SEO, Analytics, Website optimization
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.
25 matches for "optimization"
Orbit Media · Beginner to intermediate
Practical marketing education that includes AI workflows for content, analytics, and website improvement.
Skills
AI content, SEO, Analytics, Website optimization
LearningSEO.io and SEOFOMO · Beginner to intermediate
Useful for non-engineering marketers learning how AI affects search and SEO workflows.
Skills
AI SEO, Search strategy, Content optimization, Technical SEO basics
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
CS50's Introduction to Artificial Intelligence with Python · Beginner to intermediate
A rigorous entry point into classical AI concepts, search, optimization, machine learning, neural networks, and language processing.
Topics
Search, Knowledge representation, ML foundations, AI foundations
Still useful for understanding vision models, training loops, backpropagation, and representation learning.
Topics
Computer vision, Deep learning, Model training
Book · Nathan Lambert · Advanced
You want to understand post-training and preference optimization.
rlhf, alignment, post-training
Coding agent evaluation guide · GitHub · Intermediate to advanced
You want GitHub's September 2, 2026 evidence for measuring coding-agent efficiency across the whole task, including selective output compression, preserving useful context, benchmark regressions, and controlled production experiments.
github copilot, coding agents, context engineering, evals, cost optimization
Model orchestration research preview · GitHub · Intermediate to advanced
You want GitHub's September 4, 2026 technical explanation of runtime model orchestration for coding tasks, including plan decomposition, draft-critique-revise patterns, model cascading, evaluation design, and quality-versus-cost tradeoffs.
github copilot, model orchestration, model selection, coding agents, evals
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
Guide · OpenAI · Intermediate
You need the current OpenAI guidance for trading higher spend for lower latency in interactive or tool-heavy workflows instead of assuming standard processing is the only mode.
openai, fast mode, latency, gpt-5.6, interactive workflows
Guide · OpenAI · Intermediate
You want the official OpenAI pattern for queueing large asynchronous jobs such as eval runs, backfills, classification batches, or dataset generation.
openai, batch api, async workflows, cost optimization, offline processing
Guide · OpenAI · Intermediate
You need the current OpenAI guidance for trading latency for lower cost on non-urgent workloads instead of pushing everything through the default realtime path.
openai, flex processing, cost optimization, latency tradeoffs, batch workloads
Guide · OpenAI · Intermediate
You are sending repeated long context and need the official OpenAI guidance for lowering cost and latency with cache-friendly prompt structure.
openai, prompt caching, latency, cost, long context
Official bootcamp · OpenAI · Intermediate
You want OpenAI's current five-part builder curriculum covering API foundations, agents, realtime, RAG, and production optimization with one public syllabus.
openai, agents, realtime, rag, production
Guide · OpenAI · Intermediate
You need a practical optimization loop across prompt changes, evals, and fine-tuning rather than guessing which knob to turn next.
openai, prompting, evals, fine-tuning, optimization
Guide · OpenAI · Intermediate
You need the official pattern for compressing long agent conversations and preserving the right context instead of letting transcripts grow until quality or cost breaks down.
openai, compaction, context management, long-running agents, reasoning
Guide · Anthropic · Intermediate
You need Anthropic's current guidance for reusing repeated long context efficiently instead of paying full price and latency on every Claude request.
anthropic, prompt caching, claude, cost optimization, latency
Guide · Google AI for Developers · Intermediate
You want the official Gemini route for high-volume asynchronous generation, evaluation, extraction, or backfill workloads.
gemini, batch api, async workflows, cost optimization, offline processing
Guide · DeepSeek · Intermediate
You want the official DeepSeek KV-cache guidance before building repeated long-context workflows or comparing caching behavior with other providers.
deepseek, context caching, kv cache, cost optimization, latency
Guide · xAI · Intermediate to advanced
You want xAI's official guidance for shrinking long conversations into reusable compact state before teaching Grok-heavy agent workflows at scale.
xai, context compaction, agents, long context, cost optimization
Guide · OpenRouter · Intermediate
You want the official explanation of sticky provider routing, cache-hit behavior, and cost tradeoffs before using OpenRouter as a long-context or agent backend.
openrouter, prompt caching, routing, cost optimization, latency
Guide · OpenRouter · Intermediate
You want the official OpenRouter request-level caching model before building repeated eval, agent, or research workflows that can benefit from cache hits above the provider layer.
openrouter, response caching, cost optimization, latency, agents
Blog · Andy Crestodina · Beginner to intermediate
Use this when you want Andy Crestodina's material for ai content and related AI skills.
AI content, SEO, Analytics, Website optimization
Guides · Aleyda Solis · Beginner to intermediate
Use this when you want Aleyda Solis's material for ai seo and related AI skills.
AI SEO, Search strategy, Content optimization, Technical SEO basics