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  • ⚔️ AI Cloud War: Amazon Injects $4B in Anthropic AI

⚔️ AI Cloud War: Amazon Injects $4B in Anthropic AI

On DALL-E 3, Deepmind's genetic model, Code Llama going commercial, and anyscale 10x cheaper endpoints

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Hey ,

Welcome to this week's edition of AlphaSignal.

Whether you are a researcher, engineer, developer, or data scientist, our summaries ensure you're always up-to-date with the latest breakthroughs in AI.

Let's get into it!

Lior

On Today’s Email:

  • Top Releases and Announcements

  • Amazon Invests $4B into Anthropic

  • OpenAI Announces DALL-E 3

  • Anyscale Launches 10X Cheaper Endpoints for LLMs

RELEASES & ANNOUNCEMENTS

1. OpenAI Unveils A New Interface for Model Fine-Tuning
OpenAI is rolling out an upgraded fine-tuning interface, allowing users to fine-tune models via the UI, extending the accessibility of this feature. The update also expands the capability to fine-tune three GPT 3.5 models with user data.

2. GitHub Expands Availability of AI Coding Assistant Copilot Chat
GitHub's AI-driven tool, Copilot Chat, is now in public beta for individual users, offering coding assistance and support in Visual Studio. This tool assists users in writing code, allowing them to troubleshoot bugs and get answers to coding questions.

3. DeepMind Introduces an AI tool that Classifies the Effects of 71 Million Genetic Mutations
AlphaMissense is an AI model that classifies the effects of missense genetic mutations, which can cause diseases like cancer or cystic fibrosis. Only 0.1% of these mutations have been studied by human experts. Open-sourced and validated, it speeds up costly and time-consuming experiments.

4. Meta Announces That Code Llama Is Now Free For Both Research And Commercial Use
The a state-of-the-art large language model for coding now has three different models available: Code Llama, Code Llama - Python, Code Llama - Instruct.

5. Coqui Releases Model Weights for Their New Generative Voice Model
XTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. 3-second cloning, Multilingual speech generation, Cross-language voice cloning, 24khz quality

Join the New Scale AI Webinar: Testing and Evaluating Large Language Models (LLMs)

Join Scale’s webinar on September 27th at 10:00 a.m. PT for a deep dive into Large Language Models evaluation, scaling, and vulnerabilities.

Daniel Berrios, Chief of Staff at Scale AI, and Dylan Slack, Machine Learning Research Engineer at Scale AI, will explore:

  • The capabilities, potential risks and vulnerabilities of today's LLMs

  • Our vision for an effective LLM test and evaluation ("T&E") regime

  • Our hybrid approach to improving model evaluation and red teaming

Save your free front row seat!

NEWS
Amazon Invests $4B into Anthropic to Competing Against Microsoft (OpenAI)

What's New?
Amazon plans to invest up to $4 billion in the AI startup Anthropic. The two companies will collaborate on developing reliable and high-performing foundation models. Amazon Web Services (AWS) will be the primary cloud provider for Anthropic. The investment also includes AWS's Trainium and Inferentia chips to be used for model training and deployment.

Why Does It Matter?
This investment marks a significant move in the AI industry, positioning Amazon to compete directly with other tech giants like Microsoft, Google, and Nvidia. The collaboration aims to make AI more safe, reliable, and widely accessible. It also gives AWS customers access to advanced AI capabilities.

Key Insights
Amazon will initially invest $1.25 billion for a minority stake in Anthropic, with the option to increase it to $4 billion.

  • AWS becomes the primary cloud infrastructure for Anthropic, contributing their Trainium and Inferentia chips.

  • Amazon and Anthropic will work together on AI safety and responsible AI use, aligned with various global AI partnerships.

  • Enterprises and developers can leverage Anthropic's AI for a wide range of tasks through Amazon's Bedrock service.

  • The deal aims to give Amazon a competitive edge in the AI sector and offer more advanced AI capabilities to AWS customers.

Translate over 3 billion voices without the hassle of managing multiple APIs
Speechmatics has launched Real-Time Translation as part of its all-in-one Speech API.

Their new self-supervised model can bring your product or service to the largest audience possible, without the hassle of multiple different language APIs and lengthy setup times.

NEWS
OpenAI Announces DALL-E 3: A Midjourney Competitor Powered by ChatGPT

What's New?
OpenAI has launched DALL-E 3, a new version of its tool that turns text into images. This version integrates with ChatGPT, allowing the chatbot to help users create prompts for generating images.

Why Does It Matter?
The integration with ChatGPT makes it easier for users to generate prompts for DALL-E, removing the need for manual prompt creation. This is especially useful for those who struggle with coming up with detailed prompts.

Main Takeaways

  • DALL-E 3 understands context better than its previous version, making it more accurate in generating images based on text prompts.

  • The integration with ChatGPT allows users to easily create prompts, making the platform more accessible.

  • OpenAI has focused on safety measures, including mechanisms to reduce bias and the ability for artists to opt out of having their work used for training.

  • The new version will initially be available to ChatGPT Plus and ChatGPT Enterprise users, with availability for research labs and API service to follow.

  • DALL-E 3 can handle longer, more descriptive prompts and has special handling for content like text and human hands.

NEWS
Anyscale Launches 10X Cheaper Endpoints for Open-Source LLMs

What's New?
Anyscale has launched Anyscale Endpoints, a new service which allows developers to efficiently integrate and deploy Large Language Models (LLMs) into applications using popular LLM APIs.

Why Does It Matter?
The rise in demand for high-quality LLM applications and generative AI has highlighted the need for fast, cost-efficient, and scalable solutions. Anyscale Endpoints aims to address these needs by eliminating traditional obstacles such as infrastructure complexity and high costs.

Key Insights

  • Cost-Effective Scaling: Offers integration and deployment of scalable LLMs at 10x less cost for specific tasks.

  • Open-Source Innovation: Provides access to continuous developments in the open-source community.

  • Flexible and Secure: Can run within customer’s existing cloud accounts, ensuring security and flexibility.

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Igor Tica is a writer at AlphaSignal and a Research Engineer at SmartCat, with main expertise in Computer Vision. Passionate about contributing to the field and seeking opportunities for research collaborations that span Self-supervised and Contrastive learning.

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