Tutorials Kimi K3 Vision: Extract Structured Data From PDFs in Python
Use Kimi K3's native vision and JSON schema output to turn messy PDF pages into clean, typed data.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Use Kimi K3's native vision and JSON schema output to turn messy PDF pages into clean, typed data.
Tutorials kimi-k3 is not a drop-in swap. Map the params right and dodge the trap that breaks tool loops.
Tutorials Point the OpenAI SDK at Meta's agent model, add tools, let it self-manage a 1M-token context.
Tutorials Use reasoning.context to reuse GPT-5.6's chain of thought across turns and cut redundant tokens.
Machine Learning Run the first 27B-class model on a phone: MLX, llama.cpp, tool calls, and the memory math.
Tutorials Reproduce GPT-Live's full-duplex voice and background delegation using the GA Realtime API.
Machine Learning Ship a taskset, swap any harness, and turn compacted rollouts into real RL training samples.
Tutorials Structure prompts, set prompt_cache_retention, and read cached_tokens to slash GPT-5.6 input costs.
Tutorials Use GPT-5.6's Responses API so the model writes JavaScript to run your tools in one call.
Tutorials Use Grok 4.5's server-side X Search on the xAI API to build a cited, real-time trend agent.
Tutorials Build an agentic Grok 4.5 tool loop in Python: route reasoning_effort and cache to slash cost.
Machine Learning Build a SWE-Together-style multi-turn coding-agent eval with an LLM user simulator in Python.