Best of LLM — February 2024

1. 1
   Article

   DEV·2y

   Choose Your Own Coding Assistant

   This post reports the results of experimenting with four leading Large Language Models to evaluate which one reigns supreme as a coding assistant. GPT-4 emerged as the overall victor, offering the most accurate and comprehensive assistance across all tasks. Smaller models may present viable alternatives depending on specific needs. Google's new LLM, Gemini Advance, shows significant improvements and is a serious contender to the crown of 'best LLM overall'.

   126

   4
2. 2
   Article

   Brad Frost·2y

   AI and Design Systems

   AI tools can supercharge design system work by generating component code, translating components across frameworks, writing unit tests, reviewing accessibility, and creating documentation. These tools have the potential to significantly speed up the process of creating and maintaining design systems.

   22

   1
3. 3
   Article

   HEARTBEAT·2y

   Web Scraping With 5 Different Methods: All You Need to Know

   Learn about web scraping techniques using various methods like BeautifulSoup, Requests, Scrapy, and Selenium. Also explore the use of LangChain for web scraping.

   21
4. 4
   Article

   It'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.

   14
5. 5
   Article

   Medium·2y

   T-RAG = RAG + Fine-Tuning + Entity Detection

   The T-RAG approach combines RAG architecture with fine-tuning and entity detection for contextual retrieval in LLM applications over private enterprise documents.

   11