Fix 'LLM API Error: An Error Occurred During Streaming'
What causes the ‘LLM API error: an error occurred during streaming’ message and how to fix it — timeouts, token limits, network drops, and rate limits, with Python fixes.
Khushal Jethava
AI & Python Tutorials by Khushal Jethava
Practical guides on LLMs, RAG, MLOps, computer vision, and Python programming from a Machine Learning Engineer working with Generative AI. Covering fine-tuning, AI agents, explainable AI, and production ML pipelines with hands-on code examples.
Best Open Source LLMs for Coding and General Use in 2026
How to choose the best open source LLM in 2026 — the top model families for coding and general use, how to match size to your hardware, and how to run them.
LLM API Pricing Compared: How to Find the Cheapest Provider
How LLM API pricing works and how to find the cheapest provider — the per-token model, hidden costs, and a Python cost calculator you can run on your own usage.
Free LLM APIs: Best Options and How to Get an API Key
The best free LLM APIs in 2026 and how to get an API key — free tiers, open-source gateways, and fully local options, with Python code to call each.
How LLMs Generate Text: Temperature, Top-p, and Sampling
How LLMs generate text, one token at a time — logits, softmax, temperature, top-k, and top-p sampling explained with runnable Python you can experiment with.
Decoder-Only vs Encoder-Decoder LLMs: Which and Why
Decoder-only vs encoder-decoder LLMs explained — how GPT, BERT, and T5 differ, why most modern LLMs are decoder-only, and which architecture fits your task.
Build an LLM Question-Answering System in Python
Build a question-answering system in Python that answers from your own documents — chunking, embeddings, retrieval, and grounded generation, end to end.
Sentiment Analysis with LLMs in Python
Run sentiment analysis with LLMs in Python — zero-shot classification, structured output, batching for cost, and when a classic model beats an LLM.
Generating Synthetic Data with LLMs in Python
Generate synthetic training data with LLMs in Python — structured prompts, diversity controls, quality filtering, and how to avoid the traps that poison a dataset.
Supervised Fine-Tuning (SFT) for LLMs: A Python Guide
A practical guide to supervised fine-tuning of LLMs in Python using TRL and LoRA — data format, training loop, and when SFT beats prompting or RAG.