The week's top generative AI updates - July 23, 2024

The week's top generative AI updates - July 23, 2024

Welcome to this week’s SymphonyAI generative AI weekly newsletter summarizing all the important AI industry developments and technology advancements you need to know.


Industry projections

  • Tenable: 73% of Indian Enterprises to Use GenAI in the Next 12 Months: The study found that 73% of Indian enterprises plan to adopt generative AI within the next 12 months for security and IT support of broader business goals. GenAI is a potential game-changer for preventive threat response, automation of security measures, and improving actionability.?


Technology news?

  • OpenAI Anticipates Decrease in AI Model Costs Amid Adoption Surge:? At VB Transform 2024, OpenAI discussed the significant reduction in inference costs for AI models like GPT-4o, noting an 85-90% decrease since the introduction of GPT-4. OpenAI's latest model, GPT-4o, introduced at the Spring Update event, is half the price and twice as fast as GPT-4 Turbo.???

  • OpenAI and Los Alamos National Laboratory Announce Research Partnership: OpenAI and Los Alamos National Laboratory (LANL) partnered to study the safe use of multimodal AI models, such as GPT-4o, in bioscientific research. The collaboration is to develop safety evaluations for AI systems used in laboratory settings, to advance scientific research safely and effectively.??

  • Anthropic Introduces Fine-Tuning for Claude 3 Haiku on Amazon Bedrock: Anthropic launched fine-tuning capabilities for Claude 3 Haiku on Amazon Bedrock for customizing the AI model for specific tasks such as classification, API interactions, and data interpretation. Early adopters report a 73% increase in positive feedback for agent responses and a 37% improvement in key performance indicators, highlighting the practical benefits of this customization.?

  • Claude Artifacts Now Shareable and Customizable for All Users: Claude's Artifact feature now allows sharing with others, even without a Claude account. Artifacts are interactive content pieces, such as code or graphics that can now be shared and reused. This marks a significant step in making advanced AI functionalities more accessible and practical for a broader audience.?

  • Google's Search Market Dominance Grows as ChatGPT Falters: Google's search market share increased to 91.1% in June thanks to AI integration, while ChatGPT web visits fell 12. Analysts suggest that Google's AI advancements, despite initial rollout issues, are aiding query growth and increasing monetization across the Google ecosystem, contributing to its market dominance.?

  • Gmail Introduces AI-Powered Summaries for Efficient Email Management: Google Gmail rolled out AI-powered summaries to help users quickly understand the content of long emails, for productivity and email management. The new feature uses advanced NLP for concise summaries, so users can grasp key points without reading the entire message.?

  • Gemini's Background Mode and App Extensions Enhance AI Capabilities: Google Gemini's new features, including background mode and app extensions, will improve AI capabilities, potentially surpassing Apple's intelligence offerings in versatility and integration. The background mode allows Gemini to operate continuously without user intervention while App extensions give third-party apps the ability to integrate Gemini AI functionality.?

  • Google DeepMind Gemini 1.5 Pro Improves Robot Navigation: Google is using Gemini AI to improve robot navigation and task completion. The DeepMind robotics team demonstrated Gemini 1.5 Pro’s long context window for better information processing from natural language instructions.??

  • AWS App Studio Simplifies Enterprise App Creation with AI: AWS launched App Studio, a generative AI-powered service to build enterprise applications by simply describing needs in natural language to streamline development. The service handles all aspects of application creation, from coding and testing to deployment and maintenance.?

  • Meta AI Develops Compact Language Model for Mobile Devices: Meta AI researchers have unveiled MobileLLM,?an efficient language model designed for smartphones and other resource-constrained devices. This approach challenges the assumption that effective AI models must be large, focusing instead on optimizing models with fewer than 1 billion parameters.?


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