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Welcome back AI enthusiasts!
In todayâs AI Report:
đŁGoogle Cloud Next 2024: Everything Announced So Far
đMeta Confirms Llama 3?!
đIntelâs Gaudi 3 AI Accelerator Chip
đ 5 Trending Tools
đ°Venture Capital Updates
đŒWhoâs Hiring?
Read Time: 3 minutes
đRECENT NEWS
đŁGoogle Cloud Next 2024: Everything Announced So Far
Image Source: Manuel Lopez/World Economic Forum
Googleâs Cloud Next 2024 event announced several new cloud-focused and AI-centric products, including Google Vids, a Gemini Code Assistant, and a Vertex AI Agent Builder.
Key Details:
Donât have time to watch Googleâs keynote event? Hereâs everything you need to know:
Google Vids: a new AI-fueled video creation tool to develop videos within Workspaces like Docs, Sheets, and Slides.
Gemini Code Assistant: an enterprise-focused AI code completion and assistance tool rivaling GitHubâs Copilot Enterprise.
Google Workspace: an AI-based âHelp Me Writeâ feature in Gmail that instantly turns rough email drafts into a more polished email.
Imagen 2: an enhanced image-generating tool with a âtext-to-live imagesâ feature that creates short, four-second videos.
Vertex AI Agent Builder: a new tool that helps companies build conversational AI agents for specific use cases.
Google is also developing a custom-built ARM-based CPU called âAxionâ to make cloud computing more affordable for developers.
Why Itâs Important:
The three constraints for AI hardware include chain supply, voltage transformer supply, and electricity availability. Googleâs âAxionâ processor could make cloud computing for AI developers more affordable, leading to more efficient hardware utilization to reduce the three AI hardware constraints.
đ©ș PULSE CHECK
Whatâs the standout product unveiled at Google Cloud Next 2024?
META
đMeta Confirms Llama 3?!
Image Source: Canva AI Image Generator
Meta plans an initial release of Llama 3, the companyâs next-generation Large Language Model (LLM) used to power GenAI assistants, within the next month.
Key Details:
Meta will launch several versions of Llama 3 with various capabilities to benefit specific use cases for consumers, developers, and enterprises.
The company didnât disclose Llama 3âs parameter counts, but itâs expected to reach 140 billion parameters and rival OpenAIâs GPT-4. In comparison, Meta Llama 2âs largest size was 70 billion parameters.
Higher parameter counts generally mean AI models are more capable of learning from the data but require increased training time and computational resources.
Why Itâs Important:
Meta has stockpiled over 350,000 of Nvidiaâs Tensor Core H100 GPUs over the last year to strengthen AI infrastructure, allowing the social media giant to gain a competitive edge in computing power.
Metaâs versions of Llama 3 offer multiple options for different users: consumers (e.g., smart virtual assistants), developers (e.g., building AI-powered applications), and enterprises (e.g., large-scale data analysis).
AI RESEARCH
đIntelâs Gaudi 3 AI Accelerator Chip
Intel unveiled Gaudi 3, an accelerator chip that provides comprehensive AI strategies for enterprises with open and scalable systems that work across all AI segments.
Intelâs Gaudi 3 boasts 50% greater inference (i.e., running live data through a trained AI model to make predictions or solve tasks) and 40% better power efficiency than Nvidiaâs H100 Tensor Core GPUs.
đ TRENDING TOOLS
đ§žGummySearch unlocks the power of Reddit for deep market research and audience analysis.
đPrelaunch describes your product in a sentence, generates high-quality visuals, and develops a website.
đ§ŹWonders is a search engine for millions of scientific papers.
đșMeshcapade creates foundation models that enable digital humans to see, understand, and move.
đšDomoAI transforms images into dynamic videos.
đźBrowse our always Up-To-Date AI Tools Database.
đ°VENTURE CAPITAL UPDATES
Wing Venture released the sixth annual enterprise Tech 30 list, and generative AI dominates.
iKala secures over $20M in Series B+ to boost AI research and market expansion in Japan and Southeast Asia.
Prem Labs raised $14M to revolutionize proprietary AI model generation.
đŒWHOâS HIRING?
Western Digital (Milpitas, CA): Firmware Engineer Intern, Summer 2024
Symbotic (Wilmington, MA): Machine Learning, Computer Vision Intern/Co-op, Fall 2024
Nvidia (Seattle, WA): Research Scientist, Robotics, New Grad
Synthesia (New York City, NY): Head of Enterprise Sales
OpenAI (San Francisco, CA): Software Engineer, Full-Stack, Safety
đ€PROMPT OF THE DAY
AI INTEGRATIONS
đŠŸPut AI to Work
Suggest a practical roadmap for integrating AI technologies into [Business Operation] to streamline [Workflows] and address [Bottleneck].
Business Operation = [Insert Here]
Workflows = [Insert Here]
Bottleneck = [Insert Here]đFINAL NOTE
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