Best of NLP — February 2024

  1. 1
    Article
    Avatar of gcgitconnected·2y

    Build a Personal AI Tech News Agent

    Learn how to build a personalized AI tech news agent that crawls tech sites and summarizes key trends based on your preferences. No coding experience required.

  2. 2
    Article
    Avatar of itnextITNEXT·2y

    Building a Search Engine in Rust

    Learn about building a search engine in Rust, including the inverted index, tokenization, answering queries, and more!

  3. 3
    Article
    Avatar of pointerPointer·2y

    gptscript-ai/gptscript: Develop LLM Apps in Natural Language

    GPTScript is a scripting language that allows developers to automate their interactions with OpenAI's Large Language Model (LLM). It offers a natural language programming experience and supports mixing natural language prompts with traditional scripts. GPTScript can be used for various tasks like planning a vacation, editing files, running SQL queries, and building applications.

  4. 4
    Article
    Avatar of kdnuggetsKDnuggets·2y

    Free Mastery Course: Become a Large Language Model Expert

    A free mastery course is available to become a large language model expert. The course covers fundamental and advanced concepts of LLMs and teaches how to deploy them in production. It is divided into three parts: LLM Fundamentals, LLM Scientist, and LLM Engineer. Each part covers different topics and provides tutorials, resources, notebooks, and articles.

  5. 5
    Article
    Avatar of flydotioFly.io·2y

    GPUs on Fly.io are open for everyone!

    Fly.io has made GPUs available to everyone, allowing users to spin up GPU instances for tasks such as large language model inferencing and image generation. The available GPU types are Ampere A100 (40GB), Ampere A100 (80GB), and Lovelace L40s (48GB). The post also mentions that lower-cost A10 GPUs will be introduced in the future. Additional articles related to using GPUs on Fly.io are provided for further exploration.

  6. 6
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    How to Build A Text Summarizer Using Huggingface Transformers

    Learn what a text summarizer is and its use cases. Build your own text summarizer using Hugging Face Transformers.

  7. 7
    Video
    Avatar of communityCommunity Picks·2y

    Let's build the GPT Tokenizer

    Tokenization is the process of translating strings or text into sequences of tokens. It is necessary to understand tokenization for working with large language models. Tokenization can be done at the character level or using more advanced schemes.

  8. 8
    Article
    Avatar of kdnuggetsKDnuggets·2y

    Free Amazon Courses to Learn Generative AI: For All Levels

    Free Amazon courses to learn generative AI for all levels. Upskill with these courses to master generative AI, regardless of your job title. Courses cover topics such as foundations of generative AI, prompt engineering, language models on AWS, and more.

  9. 9
    Article
    Avatar of itsfossIt's Foss·2y

    How to Run LLMs Locally on Raspberry Pi Using Ollama AI

    Learn how to run Large Language Models (LLMs) locally on a Raspberry Pi using Ollama AI. Install Ollama on Raspberry Pi OS easily and explore different LLMs available, such as TinyLlama, phi, and llava. Also, find out the capabilities of running LLMs on Raspberry Pi and the opportunities it presents.

  10. 10
    Article
    Avatar of itnextITNEXT·2y

    MongoDB Compass — Convert Text into Queries with AI-Powered Natural Language

    Learn how MongoDB Compass revolutionizes query generation using AI-powered natural language. Explore use cases, import datasets using MongoDB tools, and create queries based on country information in MongoDB Compass.

  11. 11
    Article
    Avatar of habrhabr·2y

    Mastering ChatGPT

    Discover the potential of incorporating function calling into OpenAI's ChatGPT API, allowing for natural language interaction and automation of tasks. Explore real-world examples of integrating ChatGPT with Replicate, Foursquare, and DigitalOcean APIs.

  12. 12
    Article
    Avatar of communityCommunity Picks·2y

    How BPE works - the tokenization algorithm used by large language models

    Learn about BPE, the tokenization algorithm used by large language models like GPT, LLaMA, and RoBERTa. Walk through a worked example and explore Python implementations.

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