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AI Tutorials
Keep up to date with the latest techniques, tools, and research in artificial intelligence. Out AI tutorials will walk you though challenging machine learning models.
Exploring Text-Embedding-3-Large: A Comprehensive Guide to the new OpenAI Embeddings
Explore OpenAI's text-embedding-3-large and -small models in our guide to enhancing NLP tasks with cutting-edge AI embeddings for developers and researchers.
Zoumana Keita
March 15, 2024
Hugging Face's Text Generation Inference Toolkit for LLMs - A Game Changer in AI
A comprehensive guide to Hugging Face Text Generation Inference for self-hosting large language models on local devices.
Josep Ferrer
March 14, 2024
Fine-Tuning OpenAI's GPT-4: A Step-by-Step Guide
This step-by-step tutorial offers an in-depth exploration of how to harness the full capabilities of GPT-4, enhancing its performance for specialized tasks through fine-tuning.
Moez Ali
March 14, 2024
Getting Started with Claude 3 and the Claude 3 API
Learn about the Claude 3 models, detailed performance benchmarks, and how to access them. Additionally, discover the new Claude 3 Python API for generating text, accessing vision capabilities, and streaming.
Abid Ali Awan
March 13, 2024
An Introduction to the Mamba LLM Architecture: A New Paradigm in Machine Learning
Discover the power of Mamba LLM, a transformative architecture from leading universities, redefining sequence processing in AI.
Kurtis Pykes
March 7, 2024
Semantic Search with Pinecone and OpenAI
A step-by-step guide to building semantic search applications using OpenAI and Pinecone in Python.
Moez Ali
February 28, 2024
Building Intelligent Applications with Pinecone Canopy: A Beginner's Guide
Explore using Canopy as an open-source Retrieval Augmented Generation (RAG) framework and context built on top of the Pinecone vector database.
Kurtis Pykes
February 23, 2024
An Introduction to Debugging And Testing LLMs in LangSmith
Discover how LangSmith optimizes LLM testing and debugging for AI applications. Enhance quality assurance and streamline development with real-world examples.
Bex Tuychiev
February 16, 2024
Salesforce XGen-7B: A Step-by-Step Tutorial on Using And Fine-Tuning XGen-7B
Most open-source LLMs have one huge drawback - short context length. Since context length is essentially the “memory” of LLMs, this issue needs to be addressed urgently. That’s exactly what Salesforce XGen 7B LLM does - provide an impressive 8k context length. This article is a tutorial on how to use and fine-tune it.
Bex Tuychiev
February 15, 2024
An Introductory Guide to Fine-Tuning LLMs
Fine-tuning Large Language Models (LLMs) has revolutionized Natural Language Processing (NLP), offering unprecedented capabilities in tasks like language translation, sentiment analysis, and text generation. This transformative approach leverages pre-trained models like GPT-2, enhancing their performance on specific domains through the fine-tuning process.
Josep Ferrer
February 14, 2024
An Introduction to LMQL: The Bridge Between SQL and Large Language Models
Discover everything you need to know about LMQL, short for Language Models Query Language, an innovative programming language for LLMs.
Kurtis Pykes
February 8, 2024
An End-to-End ML Model Monitoring Workflow with NannyML in Python
Learn an end-to-end workflow to monitor any model in your Jupyter notebook in production environments.
Bex Tuychiev
February 8, 2024