Tag

Python

17 articles

Agentic AIHow to Evaluate Agents Locally with Arize PhoenixTrace and judge your agent on your own machine, no hosted service requiredJuly 12, 20267 minJuly 12, 20267 min
LLM IntegrationGenerating Code with Prompts: The Fundamentals Still MatterComments to code, SQL from schemas, and the verification habit that separates working code from plausible codeJuly 3, 20266 minJuly 3, 20266 min
LLM IntegrationDataset Diversity: Fixing Repetitive Synthetic GenerationsWhy your generated dataset all sounds the same, and the seeding trick that fixes itJuly 3, 20267 minJuly 3, 20267 min
Agentic AIBuilding Agents That Actually WorkThe practical habits that separate a reliable agent from a flaky demo: simpler workflows, better information flow, and a debugging ladderJuly 2, 202610 minJuly 2, 202610 min
RAGGenerating a Synthetic Dataset for RAGUse a big model to train a small retriever, for about $55 instead of a month of labelingJuly 2, 20266 minJuly 2, 20266 min
LLM IntegrationGenerating Synthetic Data with PromptsTurn a model into a data factory for tests, evals, and cold-start training, without spending a month labelingJuly 2, 20266 minJuly 2, 20266 min
Agentic AICodeAgent vs ToolCallingAgent: Two Ways to Let an Agent ActThe difference between an agent that writes Python and one that emits JSON, with strengths, limits, use cases, and when to pick eachJuly 2, 20269 minJuly 2, 20269 min
LLM IntegrationPAL: Let the Model Reason in Words, but Let Python Do the MathProgram-Aided Language Models offload the actual computation to an interpreter, so arithmetic bugs stop wrecking your reasoningJuly 1, 20266 minJuly 1, 20266 min
LLM IntegrationActive-Prompt: Stop Guessing Which Few-Shot Examples to AnnotateUse the model's own uncertainty to pick which questions are worth a human-written reasoning chainJuly 1, 20266 minJuly 1, 20266 min
Agentic AIThe Agent Loop: Building ReAct From ScratchReason, act, observe, repeat. The whole engine is about 20 lines, and one counting rule explains all of it.June 28, 202614 minJune 28, 202614 min
AI InfrastructureMonitoring Model Deprecation in ProductionThe model you pinned will be switched off one day, probably with less notice than you would like. Here is how to find out from CI instead of from your users.June 24, 202616 minJune 24, 202616 min
Agentic AIStreaming Tool Calls and Partial Outputs in LangGraphToken streaming is the easy part. Streaming what a tool is doing, mid-call, is what makes an agent feel alive.June 24, 20269 minJune 24, 20269 min
LLM IntegrationStructured Outputs and Function Calling, In DepthHow to make an LLM return data that always fits your schema, and how function calling is the same idea wearing a different hatJune 20, 20267 minJune 20, 20267 min
Agentic AI in Practice · Part 6Deep Agents by LangChain: A Deep Dive, with a Customer Support AgentWhy Deep Agents exists, what it gives you out of the box, and a full support agent you could actually shipJune 19, 202616 minJune 19, 202616 min
Agentic AI in Practice · Part 5Evaluating Agents with LangSmith: A Complete GuideWhy "it worked when I tried it" is not evaluation, and how to measure agents properly with tracing, datasets, evaluators, and experimentsJune 19, 202611 minJune 19, 202611 min
Agentic AI in Practice · Part 4Building MCP Servers with FastMCP: A Practical GuideThe anatomy of a server, the rules that matter, stdio vs remote, the pitfalls I hit, and how to test and ship itJune 19, 20269 minJune 19, 20269 min
Agentic AI in Practice · Part 3Giving Agents Tools: Function Calling and MCP, ExplainedHow agents actually do things, how to design tools they use well, and where MCP fitsJune 19, 20268 minJune 19, 20268 min