Best of LLMNovember 2023

  1. 1
    Article
    Avatar of communityCommunity Picks·2y

    Announcing Grok

    Grok is an AI modeled after the Hitchhiker’s Guide to the Galaxy that aims to answer questions and suggest what questions to ask. It is still in the early beta stage but shows promising results in benchmark tests. xAI is working on various research directions to improve reasoning, safety, retrieval, and multimodal capabilities in AI systems. Limited early access to Grok is available for users in the United States.

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    Article
    Avatar of naderNader's Thoughts·2y

    Introducing React Native AI

    React Native AI is a full stack framework for building cross-platform mobile AI apps. It provides pre-built components and features for streaming/real-time responses, LLM normalization, OpenAI Assistants, image processing, chat UI, and theming/styling.

  3. 3
    Article
    Avatar of communityCommunity Picks·2y

    AI for Web Devs: What Are Neural Networks, LLMs, & GPTs?

    This article provides an overview of AI, artificial neural networks, large language models, parameters, embeddings, and GPTs. It explains how LLMs are trained on data and can generate text based on probability. The article also discusses the non-deterministic nature of GPTs and their potential for hallucinations. The next post will explore prompt engineering.

  4. 4
    Article
    Avatar of phProduct Hunt·2y

    Kirby 4.0 - Kirby is the CMS that adapts to you

    Kirby 4.0 is a CMS that adapts to the user. It offers features for validating, monitoring, and safeguarding LLM-based apps.

  5. 5
    Article
    Avatar of taiTowards AI·2y

    FastAPI Template for LLM SaaS Part 1 — Auth and File Upload

    The article introduces a FastAPI template for LLM SaaS and focuses on authentication and file upload using Supabase.

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    Article
    Avatar of newstackThe New Stack·2y

    How Daily Dev Built an AI Search Using an LLM Gateway

    Daily.dev launched the beta version of their AI-powered Search, which aims to deliver concise, accurate answers to technical queries. The system follows a workflow involving query generation, candidate generation, scraping, context building, and answer generation. They integrated LLMs using the LLM Gateway, which streamlines interactions and offers foundational building blocks. The orchestrator, Magni, executes the workflow and provides traceability and debugging. Challenges include managing stateful services, cost analysis, optimizing performance, and prompt engineering.

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    Article
    Avatar of salesforcedevsSalesforce Developers Blog·2y

    Building AI Applications with LangChain and Node.js

    Learn how generative AI can be used to query content, the concept of retrieval-augmented generation (RAG), and the features and applications of LangChain, a comprehensive toolkit for integrating AI-powered language capabilities into applications.

  8. 8
    Article
    Avatar of taiTowards AI·2y

    FastAPI Template for LLM SaaS Part 2 — Celery and Pg-vector

    This article discusses the use of Celery and Pg-vector in the FastAPI ecosystem for a template designed for LLM SaaS. It covers the process of setting up Celery workers and message queues, configuring a Redis instance, and uploading files to a vector datastore.

  9. 9
    Article
    Avatar of taiTowards AI·2y

    LangChain Cheatsheet — All Secrets on a Single Page

    LangChain is a framework for natural language processing tasks. It provides tools and agents to process and generate text. You can initialize and use a language model within LangChain by calling the appropriate classes and methods. Memory can also be incorporated into a conversation chain to maintain continuity in interactions.

  10. 10
    Article
    Avatar of phProduct Hunt·2y

    Product Prompt - No-code prompt engineering

    A no-code prompt engineering tool designed to simplify the process of composing prompts with product data for generative AI. It is aimed at teams who need to prototype new generative AI features with LLMs.