Uma Chaudhari’s Post

Google is hosting a webinar on November 20th about its new translation models, expanded language options, and AI quality checks. We’ve studied their updated models and are excited to share what we’ve learned at the webinar. Join us, #Google Cloud, and #Uber to explore the latest in machine translation! Sarah Weldon Jurik Juraska Christianna Clark Luis Mondragón Konstantin Savenkov

Google is a Leader in The Forrester Wave™: AI Foundation Models For Language, Q2 2024 receiving the highest scores of all vendors evaluated in the Current Offering and Strategy categories. “Gemini is uniquely differentiated in the market especially in multimodality and context length while also ensuring interconnectivity with the broader ecosystem of complementary cloud services.” In this report, you will learn: 🟧 Why Google is named a Leader in AI Foundation Models for Language. 🟩 Where the AI Foundation Models for Language market stands today, and where it is going. 🟦 How Google Cloud’s capabilities compare with other vendors in the market. https://lnkd.in/e9WwM_ZG #ai #LLM #googleAI #googlepartner Cloudbench Arhasi, AI with Integrity Tom R. Chiru B Sam Ibrahim Lee Anne Forbes

Want to build smarter, faster, and more cost-effective AI projects? Meta’s Llama 3.1 is here to make it happen! Llama 3.1 is changing the game for developers! With a massive 405B parameter model, extended context length, and multilingual support, this open-source AI offers unmatched customisation and cost-efficiency compared to closed models like GPT-4. 🧠 🔑 Why should you read this blog? ◆︎ Learn how Llama 3.1 can save you time and costs. ◆︎ Discover how to fine-tune Llama 3.1 for your specific unique project needs. ◆︎ Discover seamless integrations with major platforms like AWS, Azure, Google Cloud & more. ◆︎ Find out how the open-source Llama 3.1 fosters rapid innovation and improvements. ◆︎ Learn about new safety components like Llama Guard 3 and Prompt Guard. ◆︎ Compare Llama 3.1 with other models like GPT-4 to understand its unique advantages. Ready to supercharge your AI projects? Read full blog here https://lnkd.in/dhyAdMXr #AI #OpenSource #Llama3.1 #MetaAI #TechInnovation #ZignutsTechnolab

Apple Chooses Google Cloud for Cutting-Edge AI Solutions https://l1nq.com/PZTLm Apple and Google Cloud have partnered to improve AI capabilities, scalability, and performance, aiming to enhance Siri's NLP and AR multimedia analysis. #AppleandGoogleCloudcollaboration #GoogleCloud #AISolutions #ArtificialIntelligence #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

A few years ago, developing a real-time translation app would have been a massive undertaking. You'd need extensive computational resources and vast linguistic datasets. Today, cloud technology provides the scalable infrastructure necessary to handle such demands effortlessly. With AI advancements, you can now integrate machine learning models that continuously improve translation accuracy. This evolution in cloud tech and AI makes once-impossible projects achievable for developers everywhere. These tools are democratizing innovation, empowering us to create smarter applications in shorter timeframes. Are you leveraging these advancements to turn your ambitious ideas into reality? #buildinpublic #webdeveloper #ai

Anthropic released a feature for its Claude 3 language model, called 'tool use'. This functionality allows Claude 3 to interact with external tools and APIs. Available through platforms like Anthropic's Messages API, Amazon Bedrock, and Google Cloud's Vertex AI, 'tool use' marks a significant advancement in customizable AI solutions. Read more: https://lnkd.in/eA4U7ffh #ai #Anthropic #API

Exciting news! I've earned a new certification: Language, Speech, Text, & Translation with Google Cloud APIs! 🌟🎉 from Google! https://lnkd.in/eXdx9dFz #GoogleCloud #CloudComputing #APIs #LanguageProcessing #SpeechRecognition #TextAnalysis #Translation #TechCertification #ProfessionalGrowth #CloudSkills #AI #MachineLearning #TechJourney #GoogleCertification #TechSkills #CareerGrowth #CloudTechnology #ITSkills #ContinuousLearning

Exciting news for AI enthusiasts and cloud practitioners! 🚀 Meta's Llama 3.1 405B model, one of the largest publicly available foundation models, is now generally available in Amazon Bedrock. This brings advanced generative AI capabilities to AWS users, opening up new possibilities for innovation and development. Are you ready to explore the potential of this powerful model? Share your thoughts on how this could impact your projects or industry! #AWSBedrock #GenerativeAI #CloudComputing #ArtificialIntelligence

Evaluating the output of large language models (LLMs) is crucial for ensuring desired results and selecting the most suitable model for your specific use case. With Google Cloud's Vertex AI Gen AI Evaluation Service, you have the power to evaluate any model using our diverse collection of meticulously curated and transparent evaluators. Choose between an interactive mode for real-time evaluation or an asynchronous mode for more extensive analysis. Check out the below blog to understand how it works: https://lnkd.in/gXD_aYuW #LLMevaluation #GenerativeAI #NaturalLanguageProcessing #GoogleCloud #VertexAI

Google Cloud’s Vertex AI gets new grounding options https://lnkd.in/gfTxqiYr Google Cloud is introducing a new set of grounding options that will further enable enterprises to reduce hallucinations across their generative AI-based applications and agents. The large language models (LLMs) that underpin these generative AI-based applications and agents may start producing faulty output or responses as they grow in complexity. These faulty outputs are termed as hallucinations as the output is not grounded in the input data. To read this article in full, please click here