Category
Technologies
LLM Tutorials
Keep up to date with the latest news, techniques, and resources for Large Language Models. Our tutorials are full of practical walk throughs & use cases you can use to upskill.
Other technologies:
Training 2 or more people?Try DataCamp for Business
Pixtral 12B: A Guide With Practical Examples
Learn how to use Mistral’s Pixtral 12B interactively via Le Chat or programmatically through the API available on La Plateforme.
François Aubry
September 26, 2024
Flux AI Image Generator: A Guide With Examples
Learn how to use Flux AI to generate images and explore the features, applications, and use cases of each model in the Flux family: Flux Pro, Flux Dev, and Flux Schnell.
Bhavishya Pandit
September 24, 2024
Notebook LM: A Guide With Practical Examples
Learn how to make the most of NotebookLM by utilizing its podcast-generating feature and its ability to organize, summarize, and answer questions about your documents.
Amberle McKee
September 23, 2024
Corrective RAG (CRAG) Implementation With LangGraph
Corrective RAG (CRAG) is a RAG technique that incorporates self-assessment of retrieved documents to improve the accuracy and relevance of generated responses.
Ryan Ong
September 17, 2024
LangGraph Studio Guide: Installation, Set Up, Use Cases
LangGraph Studio is a visual development environment for LangChain’s LangGraph framework, simplifying the development of complex agentic applications built with LangChain components.
Dr Ana Rojo-Echeburúa
September 17, 2024
OpenAI o1-preview Tutorial: Building a Machine Learning Project
Learn how to use OpenAI o1 to build an end-to-end machine learning project from scratch using just one prompt.
Abid Ali Awan
September 15, 2024
Reflection Llama-3.1 70B: Testing & Summary of What We Know
Reflection Llama-3.1 70B, trained with Reflection-Tuning, claims to surpass GPT-4o and Claude 3.5 Sonnet but has faced reproducibility and verification issues so far.
Ryan Ong
September 8, 2024
RAG With Llama 3.1 8B, Ollama, and Langchain: Tutorial
Learn to build a RAG application with Llama 3.1 8B using Ollama and Langchain by setting up the environment, processing documents, creating embeddings, and integrating a retriever.
Ryan Ong
September 5, 2024
Fine-Tuning SAM 2 on a Custom Dataset: Tutorial
Learn how to fine-tune Meta AI's SAM 2 using the Chest CT Segmentation dataset to improve the model's image segmentation performance in medical image analysis.
Aashi Dutt
September 3, 2024
Time Series Forecasting With TimeGPT
Learn how to fine-tune TimeGPT, the first foundational model for time series datasets, for forecasting and anomaly detection with just a few lines of code.
Abid Ali Awan
September 2, 2024
LlaMA-Factory WebUI Beginner's Guide: Fine-Tuning LLMs
Learn how to fine-tune LLMs on custom datasets, evaluate performance, and seamlessly export and serve models using the LLaMA-Factory's low/no-code framework.
Abid Ali Awan
September 2, 2024
RankGPT as a Re-Ranking Agent for RAG (Tutorial)
RankGPT is a method that uses LLMs like ChatGPT to re-rank retrieved documents in RAG systems, improving the quality of the output by prioritizing the most relevant information.
Ryan Ong
August 29, 2024