Best of Generative AI — April 2024
- 1
- 2
- 3
Machine Learning News·2y
6 Free Artificial Intelligence AI Courses from Google
Six free AI courses from Google offer a structured pathway for beginners to start their journey into the world of artificial intelligence. The courses cover topics such as generative AI, responsible AI, Transformer models, large language models, Encoder-Decoder architecture, and attention mechanism.
- 4
WordPress·2y
10 Amazing WordPress Design Resouces
Discover 10 amazing WordPress design resources that can help you enhance your website skills and create stunning designs. Find tools for background visuals, theme design, CSS generation, design inspiration, mockups, color palettes, block patterns, AI image generation, and free-to-use images.
- 5
DEV·2y
How to Build a RAG Chat App With Agent Cloud and BigQuery
Learn how to build a RAG chat app using Agent Cloud and BigQuery. This comprehensive guide takes you through the process step by step, covering topics such as setting up BigQuery, creating a GCP service account key, running Agent Cloud locally, adding models, connecting to BigQuery as a data source, creating tools, agents, tasks, and conversation chat apps.
- 6
Visual Studio Code·2y
Visual Studio Code Day 2024
VS Code Day 2024 is a 2-day event focused on learning and enhancing development workflow with Visual Studio Code. The event will cover topics like AI-powered programming with GitHub Copilot, building generative AI apps, and enhancing the C# development experience. The hosts of the event are Reynald Adolphe and Gwyneth Peña-Siguenza.
- 7
- 8
Agent Cloud VS OpenAI
Agent Cloud and OpenAI are both generative AI tools with unique features and capabilities. Agent Cloud focuses on RAG chat apps, process automation, conversation management, and data privacy. OpenAI offers a range of pre-trained large language models for text, voice, and media data generation, as well as model fine-tuning. The choice between the two depends on the specific project needs.
- 9
- 10
KDnuggets·2y
Exploring the OpenAI API with Python
This post explores how to use the OpenAI API with Python for text and image generation. It covers setting up the API, using different models and parameters for text generation, generating images with the DALL·E model, and utilizing the Vision model for image analysis.
- 11
Irrational Exuberance·2y
My advice for how to use LLMs in your product.
Advice on using LLMs in products, mental models, revamping workflows, retrieval augmented generation (RAG), rate of innovation, human-in-the-loop (HITL), hallucinations and legal liability, zero to one versus one to N, copyright law, data processing agreements, and provider availability.
- 12
Community Picks·2y
Four Data Cleaning Techniques to Improve Large Language Model (LLM) Performance
This post explores four common natural language processing techniques to clean text before ingestion in large language models. It highlights the importance of data cleaning to ensure accuracy, improve quality, and facilitate analysis. The post also discusses the use of retrieval-augmented generation (RAG) in enhancing the performance of large language models.
- 13
