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Welcome to AI_Distilled. Today, we’ll talk about:
Techwave:
OpenAI to become for-profit company
OpenAI rolls out Advanced Voice Mode
Superintelligence may be here sooner than expected- Sam Altman
Awesome AI:
Requstory: convert project ideas into actionable user stories and process maps.
Adobe GenStudio: create, manage, and optimize on-brand content
Letta: enhances LLMs by adding memory capabilities
Scenery: AI-powered video editing for teams
KLING AI: Next-Generation AI Creative Studio
Masterclass:
Vector Embeddings with Cohere and Hugging Face
Build a multimodal social media content generator using Amazon Bedrock
Working with Embeddings: Closed versus Open Source
Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and more
HackHub:
OpenHands: Code Less, Make More
audiocraft: library for audio processing and generation with deep learning
MidJourney-Styles-and-Keywords-Reference
jepa: PyTorch code and models for V-JEPA self-supervised learning from video
chat-with-mlx: An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework
💡Recommended Reading: LLM Engineer's Handbook
Cheers!
Shreyans Singh
Editor-in-Chief, Packt
On November 11, join Vin Vashishta, Denis Rothman, John Thompson, Andreas Welsch, and over 20 AI leaders revolutionizing GenAI across industries. From GenAI tools and AI Agents to Small Language Models and LLM fine-tuning, you’ll dive deep into cutting-edge AI strategies and technologies at Packt's Generative AI In Action conference.
Don't delay—secure your spot at the early bird rate before prices increase permanently next week!
Mira Murati, the Chief Technology Officer of OpenAI, announced her resignation to pursue personal exploration after being with the company for over six years. Murati played a key role in OpenAI's rise, including leading the organization temporarily during a leadership crisis involving CEO Sam Altman. Her departure follows a series of leadership changes at OpenAI, including the exits of other top executives.
OpenAI to become for-profit company
OpenAI is planning to restructure into a for-profit benefit corporation, removing control from its non-profit board to make the company more attractive to investors. The non-profit will still exist and hold a minority stake in the for-profit entity. CEO Sam Altman, who has never had equity in OpenAI, will receive equity in the new structure, which could value the company at $150 billion. The move aims to lift investment return caps and make OpenAI more like a typical startup, though it raises concerns about whether the company will maintain its focus on AI safety.
OpenAI rolls out Advanced Voice Mode
OpenAI has introduced Advanced Voice Mode (AVM) to more ChatGPT users, specifically those in the Plus and Teams tiers, with Enterprise and Edu customers gaining access soon. The new feature enhances ChatGPT's voice interactions, making it more natural to speak with, and includes a redesigned look represented by a blue animated sphere. Users can now choose from five new nature-inspired voices, adding to the existing options.
Superintelligence may be here sooner than expected- Sam Altman
OpenAI CEO Sam Altman predicts that superintelligent AI could emerge within the next decade, potentially in "a few thousand days." In a blog post titled "The Intelligence Age," Altman outlines a future where AI accelerates human progress and prosperity, with AI assistants transforming various industries like healthcare and education. He credits deep learning as a key driver of this progress but acknowledges challenges, including labor market disruptions. Altman remains optimistic about AI’s potential to improve lives, urging careful navigation of its risks while aiming for widespread benefits from AI technology.
Electronic Arts (EA) unveiled its "Imagination to Creation" vision, allowing players to create video game worlds using simple natural language prompts without coding skills. During a demo, players transformed basic objects into complex, multi-level game environments in real time, using EA's vast library of 3D assets and data. This AI-driven system empowers users to easily generate unique characters, obstacles, and gameplay mechanics.
Requstory: convert project ideas into actionable user stories and process maps.
By simply describing project requirements in natural language, users can generate detailed user stories and visual process maps automatically. The platform allows for easy collaboration, editing, and sharing of these AI-generated documents, streamlining project planning and execution.
Adobe GenStudio: create, manage, and optimize on-brand content
Adobe GenStudio is a generative AI-powered tool designed to help marketing teams create, manage, and optimize on-brand content across multiple channels quickly. It provides marketers with AI-driven tools to generate assets, create content variations, and measure performance in real-time, ensuring all content aligns with brand guidelines.
Letta: enhances LLMs by adding memory capabilities
Built from research behind MemGPT, Letta helps developers create intelligent agents that can remember and reason over time. It offers tools for building, deploying, and managing AI agents at scale, focusing on memory management and providing a transparent, customizable environment.
Scenery video editor | AI-powered video editing for teams
Scenery allows users to quickly create and fine-tune videos through a cloud-based system. It simplifies the video editing process with AI-driven tools, such as automatic subject detection, filler word removal, and subtitle generation in over 20 languages. Scenery also enables users to create viral social media clips from longer videos with just a click.
Vector Embeddings with Cohere and Hugging Face
Vector embeddings are numerical representations of complex data, like text or images, which help AI models understand and process this data more easily. These embeddings convert input data into dense vectors, where similar data points are close together in a high-dimensional space. This allows AI systems to measure similarities between data points, perform searches, or generate content. Platforms like Cohere and Hugging Face offer pre-trained models that generate embeddings for tasks such as classification, search, and content generation.
Build a multimodal social media content generator using Amazon Bedrock
A multimodal social media content generator using Amazon Bedrock allows brands and content creators to quickly produce visually and textually rich social media posts. The process involves uploading a product image, providing a natural language prompt, and using Amazon Titan Image Generator to create enhanced images. The text for the post is generated using Claude 3, ensuring brand consistency. The system retrieves similar historical posts using Amazon Titan Multimodal Embeddings stored in OpenSearch Serverless, offering suggestions to refine the content
Working with Embeddings: Closed versus Open Source
Embeddings are essential in natural language processing (NLP) for tasks like semantic search in retrieval systems. This article explores how different embedding models, both open-source and closed-source, perform in semantic search applications. It discusses techniques like clustering and re-ranking to enhance search results, while comparing the performance, size, and cost of up to nine top models. This comparison helps understand how model size affects efficiency in search tasks, especially when balancing cost and accuracy in large-scale retrieval systems.
ChatGPT exhibits bias against non-"standard" varieties of English, such as African-American, Indian, and Nigerian English, reinforcing linguistic discrimination. A study comparing responses to different English varieties found that ChatGPT performs worse in understanding, warmth, and naturalness for non-standard varieties, often producing condescending or stereotypical content. While the model imitates some non-standard varieties, it defaults to Standard American English, frustrating non-American users. Even improvements in newer versions like GPT-4 do not fully resolve these issues and, in some cases, worsen stereotyping, highlighting the need for addressing bias in AI.
Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and more
Google has released updated Gemini models, Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, with improved performance, lower costs, and faster outputs. These models offer enhanced capabilities for tasks like processing large PDFs, complex math problems, and video analysis. The updates include price reductions of over 50%, higher rate limits, faster output speeds, and reduced latency. The models are designed for general performance across text, code, and multimodal tasks and are available via Google AI Studio and Vertex AI for larger organizations. These updates aim to make the models more efficient and accessible for developers.
OpenHands: Code Less, Make More
OpenHands (formerly OpenDevin) is an AI-powered platform designed for software development, enabling agents to perform tasks that human developers usually handle, like modifying code, running commands, browsing the web, and even using code snippets from StackOverflow.
audiocraft: library for audio processing and generation with deep learning
AudioCraft is a PyTorch-based library developed by Facebook for deep learning research in audio generation. It includes models like MusicGen for controllable text-to-music generation, AudioGen for text-to-sound generation, and EnCodec for high-fidelity audio compression.
MidJourney-Styles-and-Keywords-Reference
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more.
jepa: PyTorch code and models for V-JEPA self-supervised learning from video
Instead of relying on labeled data, it predicts features from video frames, learning in a completely unsupervised manner. It processes video content to capture spatio-temporal patterns and trains a lightweight model to handle various downstream video and image tasks without adapting the core model.
chat-with-mlx: An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework
"Chat with MLX" is an all-in-one chat playground designed for Apple Silicon Macs, utilizing the Apple MLX framework. It allows users to securely chat with various AI models and integrate open-source models from platforms like HuggingFace.
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