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Today’s top AI Highlights:

1. GraphRAG's new auto-tuning simplifies knowledge graph construction for RAG

2. AI chatbots compared - which one should power your next masterpiece

3. Apple releases iPhone 16; built from ground-up for Apple Intelligence

4. AMD aims at Nvidia’s CUDA with a new unified GPU architecture

5. All-in-one desktop app for running LLMs, RAG, AI agents locally

& so much more!

Read time: 3 mins

Latest Developments

Skip Manual Prompting to Create Knowledge Graphs 🕸️

Microsoft has improved its GraphRAG framework for creating knowledge graphs from a collection of text documents, to adapt it quickly for domain-specific knowledge. GraphRAG traditionally requires manually creating domain-specific prompts, which is a time-consuming process. This limits the system's adaptability and ease of use for developers working with diverse datasets. Now, a new auto-tuning feature automates prompt generation for various domains. You can now readily apply GraphRAG to extract knowledge from specialized fields like chemistry or podcast transcripts, without extensive manual configuration.

Key Highlights:

1. Faster Development Cycles - Skip manual prompt engineering and leverage the auto-tuning feature to quickly adapt GraphRAG to new domains and accelerate development timelines.

2. Improved Knowledge Graph Quality - Benefit from automatically generated domain-specific prompts that extract a wider range of entities and relationships for richer and more comprehensive knowledge graphs.

3. Enhanced Query Capabilities - Build applications with stronger query capabilities, as the improved knowledge graphs enable GraphRAG to answer complex queries more accurately and deliver more insightful results.

4. Easy Integration - GraphRAG's library and Azure-based solution accelerator on GitHub offer seamless integration options. You can easily implement it and customize your projects.

A Deep Dive into Context Window, Speed, and Intelligence 📑

Artificial Analysis has published a comprehensive analysis of leading AI chatbots, benchmarking their underlying models on intelligence, features, speed, and context window size. The analysis covers popular chatbots like ChatGPT, Claude, Meta AI, Gemini, and others, giving valuable insights for developers integrating them into their applications. ChatGPT Plus emerged as the best overall chatbot, offering a strong balance of intelligence and features like web search, image generation, and data analysis.

Key Highlights:

1. Claude Pro offers the largest context window for extensive codebases - Claude Pro has the largest effective context window (200k tokens) compared to other APIs. Interestingly, Gemini 1.5 Pro with 1 million tokens was able to process only 17K tokens.

2. ChatGPT Plus and Claude Pro lead in code generation and reasoning - ChatGPT Plus (with GPT-4o) and Claude Pro (with Claude 3.5 Sonnet) achieve the highest scores in overall intelligence and code generation benchmarks, suitable for complex programming tasks.

3. Gemini Free has fastest output speed - Gemini Free is the fastest in terms of tokens generated per second. This can be beneficial during rapid prototyping and development stages where quick feedback is crucial.

4. Powerful data analysis capabilities through Code Interpreter - ChatGPT Plus is the strongest performer in data analysis due to its combination of high intelligence and features like the Python code interpreter. It lets you analyze data and generate insights directly within the chatbot interface.

Quick Bites

Apple has unveiled its new series of Apple Watches, AirPods, and iPhones. The new iPhone 16 lineup is built from the ground up for Apple Intelligence.

• iPhone 16 and 16 Plus are powered by the all-new A18 bionic chip, while the iPhone 16 Pro and Pro Max are built on the new A18 Pro bionic chip. These chips feature enhanced CPU, GPU, and neural engine for powering generative AI functions.

• These phones have a new Camera Control button on the edge for easy access to camera settings, and enabling AI features for images.

• For example, while strolling on the streets, if you spot an interesting restaurant, you can press the Camera Control button and take a picture of it. Apple Intelligence will autonomously pull out details about the restaurant, such as the location, reviews, menu, reservation, etc.

• The new AirPods Pro features a groundbreaking hearing test that you can easily do yourself. Based on the results, the AirPods Pro will adjust themselves and function as hearing aids. This is especially helpful for untreated hearing loss.

• Besides the above, the new Watches come with enhanced tracking features, AirPods come with better listening experiences and active noise cancellation, and iPhones feature enhanced speed, battery, and camera capabilities.

• Apple Intelligence will be rolled out in beta as an update to the iOS in the next month. Read about Apple Intelligence in detail here.

AMD is combining its gaming-focused RDNA and data center-focused CDNA architectures into a single UDNA architecture to simplify development and better compete with Nvidia’s CUDA ecosystem. This unified approach will likely include AI acceleration for consumer GPUs and boost AMD’s presence in the AI and data center markets.

Google is expanding its virtual try-on AI tool to include dresses, besides women’s and men’s tops. You can visualize dresses on models that resonate most with you from hundreds of brands across Google’s Shopping Graph. If you’re in the U.S., simply search for dresses on Search, click any style that includes a “try on” badge, and select a model to see how it’d look on you.

Tools of the Trade

1. AnythingLLM: A full-stack opensource desktop app where you can use popular opensource LLMs and vectorDB solutions to build a private ChatGPT running locally as well as host remotely and be able to chat intelligently with any documents

2. AI Codex: Free, opensource tool for Cursor AI that stores and categorizes errors and insights to improve AI’s performance over time. You can invoke commands to update the codex. AI will learn from mistakes and avoid repeating them in future projects.

3. YC Interview Simulator: Simulates YC interviews and asks relevant questions, records and transcribes your responses, helping you practice for the interviews.

4. Awesome LLM Apps: Build awesome LLM apps using RAG to interact with data sources like GitHub, Gmail, PDFs, and YouTube videos through simple text. These apps will let you retrieve information, engage in chat, and extract insights directly from content on these platforms.

Hot Takes

1. A side effect of OpenAI’s focus on AGI above all is that many of their most practical & useful tools are mostly left to rot.
   Code Interpreter is still the best AI analyst, but barely changed in a year. GPTs are still the best prompt sharing tool, but same.
   💰 left on the table. ~
   Ethan Mollick
   

2. The more I use Replit/Cursor, the clearer it is that the floodgate of abundance that generative AI unleashes will need to be counteracted by cryptographic scarcity to preserve digital authenticity, provenance, and value. ~
   yuga.eth

Meme of the Day

OpenAI preparing to drop their new model

That’s all for today! See you tomorrow with more such AI-filled content.

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