Generating Text Embeddings with an API
A practical tutorial on text embeddings: vector intuition, calling an embeddings API, choosing dimensions, computing cosine similarity, and caching the results.
·7 min read · #llms#embeddings#intermediate
#llms
7 posts.
Streaming LLM Responses with Server-Sent Events
Stream tokens from an LLM to your UI with Server-Sent Events. Learn the SSE wire format, fetch and ReadableStream in JS, Python SDK streaming, and UX patterns.
·7 min read · #llms#streaming#intermediate
Using the Anthropic Claude SDK in Python
A practical tour of the Anthropic Python SDK: messages, streaming, tool use, prompt caching, and patterns for shipping Claude in production.
·4 min read · #anthropic#claude#intermediate
LangChain Basics in Python: Chains, Tools, and Memory
Learn LangChain by building real components in Python: prompt templates, chains, tool calling, and memory. Practical patterns you can ship today.
·4 min read · #langchain#python#intermediate
Using the OpenAI Python SDK End-to-End
A working tour of the OpenAI Python SDK: chat completions, streaming, structured output, embeddings, tool calls, and production-grade error handling.
·4 min read · #openai#python#intermediate
LLM Evaluation: Measuring What Actually Matters
Why vibes do not scale: building golden datasets, exact-match vs LLM-as-judge scoring, A/B comparing prompts and models, regression suites, and the observability you need to ship safely.
·7 min read · #llm#ai#intermediate
LLM Tool Use and Function Calling Explained
How LLMs call functions: defining tools with JSON schema, the request → tool-call → response loop, common patterns like search and database queries, and the failure modes that bite in production.
·8 min read · #llm#ai#intermediate