freeCodeCamp·2yLearn Machine Learning in 2024
Learn machine learning in 2024 with a comprehensive course on the freeCodeCamp.org YouTube channel. The course covers machine learning basics, practical algorithms, and includes an end-to-end project in Python. It provides a clear roadmap for beginners and offers guidance for further learning.
Dev Genius·2yGit: Mastering the Essentials
Git is a free and open-source distributed Version Control System (VCS) that helps track changes to source code during software development. It has a powerful workflow and allows for collaboration and version control. This post covers the essentials of Git, including installation, configuration, repository initialization, staging, committing changes, branching, merging, working with remote repositories, and cloning repositories.
Medium·2yBuild an AI-powered LinkedIn profile reviewer: OpenAI Assistants API and Gpt-4-vision
This post discusses how to build an AI-powered LinkedIn profile reviewer using OpenAI Assistants API and Gpt-4-vision. It covers the user experience, code breakdown, and the process of creating the Assistant. The article also provides information on scraping LinkedIn profiles and handling custom function calls. The final part of the article showcases the user interface and the main interaction logic of the application.
Theo - t3․gg·2yNvidia's New Chatbot Is Actually Useful
Nvidia has released a new chatbot called Nvidia chat with RTX, which is based on generative pre-trained Transformer (GPT) models. The chatbot can be used to run open source models locally and can answer questions based on a limited set of data. It also allows users to provide their own data for training and can even give personalized advice based on YouTube videos.
KDnuggets·2yFree 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.
KDnuggets·2yCollection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps
A collection of free courses for learning data science, data engineering, machine learning, MLOps, and LLMOps is provided. The courses are self-paced and community-based, offering valuable resources for beginners and experienced professionals.
KDnuggets·2yFree 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.
AWS Tip·2yDjango vs Streamlit Frameworks for Implementing Machine Learning Models
Comparison of Django and Streamlit frameworks for implementing machine learning models. Django simplifies and accelerates web development, while Streamlit is used to build interactive user interfaces for data science applications. Django allows for more flexible front-end development, but Streamlit is easier to implement. Django is recommended for more complex projects, while Streamlit is recommended for beginners or testing models.
elastic·2yLangChain Tutorial: An Intro to Building LLM-powered apps
LangChain is a standardized interface that simplifies the process of building AI apps using existing LLMs. It provides tools for connecting components, processing user requests, and generating accurate and contextually relevant answers. LangChain offers efficient integration with popular AI platforms, flexibility and customization options, and standardized interfaces for language models to interact with data sources. By combining the power of LLMs with external data sources, LangChain allows developers to build innovative and effective AI applications.
80 LEVEL·2yGoogle's New AI Can Generate Entire 2D Platformer Games
Google's DeepMind team has developed Genie, an AI model capable of generating entire 2D platformer games from a single image prompt. Genie can turn various types of images into simplistic games and has implications for training future AI agents.
Hacker News·2yRequests for Startups
Requests for Startups: Y Combinator discusses various ideas and categories for startups to work on, including robotics, ML-based simulations, defense tech, US manufacturing, space companies, climate tech, open source, AR/VR, software for businesses, AI interpretability, manual process automation, and healthcare inefficiencies.
