Kategori
Tekniker
LLM-handledningar
Håll dig uppdaterad med de senaste nyheterna, teknikerna och resurserna för Large Language Models. Våra handledningar är fulla av praktiska genomgångar och användningsfall som hjälper dig att utveckla dina färdigheter.
Andra tekniker:
Utbilda 2 eller fler personer?Testa DataCamp for Business
How to Speed Up Local LLMs with DFlash Speculative Decoding
Learn how to accelerate local Gemma 4 31B inference on a single RTX 4090 using DFlash speculative decoding and Flash Attention against a baseline setup.
17 juni 2026
Claude Opus 4.8 API Tutorial: Tuning the Effort Parameter
Build a Streamlit app that runs Claude Opus 4.8 with adaptive thinking, auto-scores each response with Haiku 4.5, and charts the cost-quality tradeoff.
5 juni 2026
SGLang Tutorial: Serving Mistral Medium 3.5 Locally
Set up a multi-GPU Docker environment with tensor parallelism and EAGLE speculative decoding to serve Mistral Medium 3.5 128B through an OpenAI-compatible API.
1 juni 2026
Multi-Token Prediction Tutorial: How To Speed Up LLMs
Run Qwen3.6 27B on an RTX 3090 and learn how Multi-Token Prediction (MTP) with llama.cpp can boost local LLM inference by almost 2x without upgrading your GPU.
14 maj 2026
GPT-Realtime-2 API Tutorial: Three Tests, Three Verdicts
Learn how OpenAI's gpt-realtime-2, gpt-realtime-translate, and gpt-realtime-whisper differ, then test each one with working Python WebSocket code.
12 maj 2026
How to Run DeepSeek V4 Flash Locally
Learn how to run the full DeepSeek V4 Flash model on a single GPU using a modified llama.cpp build and a compatible GGUF file in this hands-on tutorial.
5 maj 2026
DeepSeek V4 API Tutorial: Building a Thinking Mode Arena
Learn how DeepSeek V4's three reasoning modes work, and build a Streamlit comparison app that shows when each mode actually wins on quality, speed, and cost.
30 april 2026
Fine-Tuning NVIDIA Nemotron-3-Nano On Psychology Q&A Data
Learn to fine-tune NVIDIA Nemotron-3-Nano-4B on a psychology Q&A dataset using an RTX 3090 GPU using LoRA and TRL after downloading the model from Hugging Face.
29 april 2026
Qwen 3.6 Plus API Tutorial: Building an Invoice Processing Pipeline in Python
Learn how to use Alibaba's Qwen 3.6 Plus, Python, and the OpenAI SDK to build an automated invoice processing pipeline with native vision and tool calling.
27 april 2026
Fine-Tuning Qwen3.6 On a Medical Q&A Dataset
Learn how to fine-tune Qwen3.6 on an H100 NVL GPU using SFT, from dataset preparation and 4-bit loading to training and evaluation.
21 april 2026
LLM As a Judge: A Complete Guide With Hands-On RAG Example
Learn how to build an automated LLM-as-a-judge system to evaluate your RAG pipelines for faithfulness and relevance at scale and bridge the gap in AI testing.
20 april 2026
Claude Opus 4.7 API Tutorial: Building a Chart Digitizer
Learn the capabilities of Anthropic’s best publicly available model, Claude Opus 4.7, and build a data science tool that can turn a chart into raw data.
20 april 2026