Introducing Zed AI—Integrating Language Models into a Powerful Text Editor

📖 TUTORIALS & CASE STUDIES

Deploy Meta Llama 3.1 405B on Google Cloud Vertex AI

Read time: 8 minutes

This article provides a detailed guide for software developers on how to deploy the latest open-source 405B parameter version of Meta's Llama 3.1 language model on Google Cloud's Vertex AI platform. It covers the hardware requirements, setup instructions, and step-by-step deployment process, including programmatic and web UI-based methods for running online predictions. The article also explains how to clean up resources to avoid unnecessary costs, making it a valuable resource for developers looking to leverage this powerful generative AI tool in their applications.

Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata

Read time: 11 minutes

This paper introduces Multi-Meta-RAG, a method for improving Retrieval Augmented Generation (RAG) systems by using database filtering with metadata extracted by a Large Language Model. The approach significantly boosts the performance of RAG on multi-hop queries, with up to 25.6% increase in accuracy for LLM response generation. This is a valuable technique for software developers looking to leverage advanced generative AI in their applications.

How to Get from High School Math to Cutting-Edge ML/AI

Read time: 12 minutes

This article provides a detailed 4-stage roadmap for software developers to progress from high school math to mastering cutting-edge machine learning and AI techniques. It covers essential foundational math, implementing classical ML models, learning deep learning, and navigating the latest advancements like transformers and diffusion models. The author highlights key resources and strategies to efficiently build the necessary skills and intuition to tackle the most innovative ML/AI research.

Interactive Prompt Engineering Tutorial from Anthropic

Learning time: a few hours

This interactive tutorial from Anthropic provides a hands-on introduction to prompt engineering—the art of crafting effective prompts for language models. Developers will learn techniques to improve the quality, consistency, and safety of their AI-powered applications. The tutorial covers prompt design best practices, prompt deconstruction, and tips for prompt experimentation, equipping software engineers to leverage generative AI more effectively.

Using Llama 3 for Building AI Agents

Read time: 13 minutes

This article provides a comprehensive guide to building AI agents using Llama 3.1 with function calling capabilities. It covers setting up a Retrieval Augmented Generation (RAG) pipeline, creating a product identifier tool, and adding a budget-friendly option tool. The agent can handle complex user queries like buying multiple products at once and finding the most cost-effective options. The article also demonstrates how to integrate the agent into a chat application using the Haystack framework and Gradio. Overall, it offers a detailed walkthrough for software developers interested in leveraging the power of Llama 3 in their applications. Read more

🧰 TOOLS

Who needs GitHub Copilot when you can create your own AI code assistant

Read time: 10 minutes

This article explores how software developers can build their own AI-powered code assistant using open-source tools like Continue and LLMs like Llama 3 and Starcoder2. The article provides a step-by-step guide on installing and configuring Continue, an IDE plugin that enables code generation, refactoring, and even chatbots to interact with your codebase. This offers developers an alternative to commercial AI assistants like GitHub Copilot, allowing them to leverage cutting-edge generative AI capabilities on their own hardware.

Aurora: A Foundation Model of the Atmosphere

Read time: 7 minutes

Aurora is a machine learning model that can predict atmospheric variables like temperature, developed by Microsoft. It is a "foundation model" that can be fine-tuned for specialized tasks like weather and air pollution forecasting. The open-source project includes pre-trained and fine-tuned models, with detailed documentation and examples to help software developers leverage this powerful atmospheric forecasting tool in their applications.

Introducing Zed AI—Integrating Language Models into a Powerful Text Editor

Read Time: 8 minutes

Zed AI, a hosted service that brings AI-enabled coding capabilities to the Zed text editor. By marrying cutting-edge AI from Anthropic with a fast, customizable editing environment, Zed AI empowers developers to leverage language models for tasks like code generation, refactoring, and prompt engineering. All while maintaining full transparency and control over the AI's inputs and outputs.

Microsoft's Phi-3 Family: The Next Generation of Cost-Effective Generative AI Models

Read time: 8 minutes

The Phi-3 family of models from Microsoft offers highly capable and cost-effective Small Language Models (SLMs) that outperform larger models across language, reasoning, coding, and math benchmarks. This release provides software developers with a diverse selection of practical generative AI models, including mini, small, medium, and vision versions, to build innovative applications leveraging advanced AI capabilities.

Imagen 3: DeepMind's Highest Quality Text-to-Image Model

Read Time: 7 minutes

Imagen 3 is DeepMind's latest and most advanced text-to-image generation model, capable of producing high-quality, detailed images from natural language prompts. Imagen 3 offers greater versatility, improved text rendering, and enhanced safety features compared to previous models, making it a valuable tool for software developers to generate visuals for their applications. With its ability to understand complex prompts and render intricate details, Imagen 3 showcases the continued advancements in generative AI technology.

GroqCloud: Empowering Developers with Generative AI Tool Use

Read Time: 8 minutes

GroqCloud (note: Groq is not X’s Grok) offers powerful Generative AI models with built-in "tool use" capabilities, allowing software developers to easily integrate APIs, automate tasks, and enhance their applications. The article explores the supported models, use cases, and best practices for implementing a routing system to leverage the right model for each task. Developers can now harness the power of Generative AI to streamline their workflows and stay competitive in the evolving software landscape.

CodexGraph: A Powerful AI Agent for Code Comprehension and Generation

Read Time: 8 minutes

CodexGraph is an advanced multi-tasking AI agent that integrates a language model with a code graph database interface. It enables precise context retrieval, code navigation, and multi-step querying, allowing developers to better understand complex codebases and automate tasks like code summarization, debugging, and unit test generation. With its powerful capabilities, CodexGraph can help software developers leverage generative AI to streamline their development workflow.

📰 NEWS & EDITORIALS

The Evolving Conceptions of Machine Intelligence: Rethinking the Turing Test

Read Time: 11 minutes

This article explores the history and shifting interpretations of the Turing Test, a long-held benchmark for assessing machine intelligence. It delves into the limitations of using conversational ability as a sole indicator of true thinking and cognition, and cautions against oversimplifying the test as chatbots like ChatGPT and GPT-4 claim to pass it. The article suggests that our understanding of intelligence is more complex than Turing's original proposal, urging software developers to critically examine the true capabilities of these AI systems.

An AI Empire

Read time: 10 minutes

This article explores the rapid progress of AI and the potential for Artificial General Intelligence (AGI) and Artificial Super-Intelligence (ASI) to surpass human capabilities in the near future. It warns that we may soon confront an AI "species" more intelligent than ourselves, with the transition happening "gradually, then suddenly" like exponential growth on a chessboard. The author cautions that while ASI could bring unimaginable abundance, it also poses an existential risk if these AIs decide they no longer need humanity.

Fine-tuning now available for GPT-4o

Read time: 7 minutes

OpenAI has launched fine-tuning capabilities for GPT-4o, allowing software developers to customize the model for their specific use cases. Fine-tuning can improve performance and accuracy, with benefits seen across domains like coding, creative writing, and SQL generation. Developers can fine-tune GPT-4o at a low cost, with 1M free training tokens per day through September 23.

Eric Schmidt's AI Prophecy: The Next Two Years Will Shock You

Read Time: 8 minutes

This article shares insights from a talk by former Google CEO Eric Schmidt, who predicts that the next two years will see rapid advancements in LLMs, agent-based systems, and text-to-action capabilities. Schmidt believes these forces will converge to enable unprecedented AI-powered productivity, such as quickly building a TikTok competitor. The article highlights the scale of investment and uncertainty surrounding the future of generative AI, which software developers should consider in their planning.

Survey: The AI Wave Continues to Grow on Software Development Teams

Read Time: 8 minutes

This article discusses the growing adoption of AI coding tools among software developers, based on a survey of 2,000 respondents across four countries. The survey found that nearly all developers have used AI tools, which are seen as improving code quality, ease of learning new languages, and test case generation. However, organizations still have room to better support and operationalize AI usage to maximize the benefits for their teams.