TensorFlow’s Post

As I shared with Georgie Frost, curiosity is the foundation of these AI transformations to build strong data structures, teams and growth agendas: https://lnkd.in/eiz_BNw3 #BCG 

I can't tell you how excited I am to see this Google has introduced Gemini 1.5, the next generation of their foundation model, offering enhanced performance, safety, and long-context understanding. Gemini 1.5 Pro, a mid-size multimodal model, performs at a similar level to Gemini 1.0 Ultra and introduces a breakthrough experimental feature of a 1 million token context window. This greatly increases the amount of information the model can process, enabling new capabilities such as complex reasoning and code problem-solving across large data sets. Google emphasizes their commitment to responsible AI development through extensive ethics and safety testing. Developers can access a limited preview of Gemini 1.5 Pro through AI Studio and Vertex AI, while pricing tiers for different context window sizes will be introduced soon. https://lnkd.in/dKjhdAN4 #ai #geminiai #geminipro Google Developer Experts #machinelearing

Google unveils Gemini 1.5, its 'next generation' #AI model. Gemini 1.5 Pro can process much more data with more "tokens", resulting in higher relevance and quality. Here's what you need to know: - Google introduces its 'next generation' AI model, Gemini 1.5, which will be available for 'early testing'. - Gemini 1.5 Pro will be accessible to developers and enterprise customers today with an 87% improvement in performance compared to the 1.0 Pro model. - Google says it has also expanded the 'context window' of 1.5 Pro, meaning developers will have more tokens to use to handle more data. Read Google’s announcement in full for more information: https://lnkd.in/gdKyDe-7 #ai #googleai #gemini

Amazing!! Google's leap in AI innovation with Gemini 1.5! It sets new benchmarks in efficiency and long-context understanding, promising to revolutionize how we interact with technology. Excited for the endless possibilities this brings to developers and enterprises! - Gemini 1.5 Pro comes with a standard 128,000 token context window up to 1 million tokens - Gemini1.5 Pro can process vast amounts of information in one go — including 1 hour of video, 11 hours of audio, codebases with over 30,000 lines of code or over 700,000 words. - Gemini 1.5 Pro can perform more relevant problem-solving tasks across longer blocks of code. When given a prompt with more than 100,000 lines of code, it can better reason across examples, suggest helpful modifications and give explanations about how different parts of the code works. #AI #Innovation #GoogleGemini"

Build your own AI agent workforce - step-by-step guide - Geeky Gadgets: Building your own AI workforce using Microsoft's AutoGen is a simple process. AutoGen allows the development of large language model (LLM) applications using customizable agents that can communicate and collaborate with each other. The framework simplifies the orchestration and optimization of LLM workflows, maximizing their performance. AutoGen supports diverse conversation patterns, seamless human participation, and offers advanced functionalities like tuning and caching. It is a powerful tool for creating complex LLM applications. - Artificial Intelligence topics! #ai #artificialintelligence #intelligenzaartificiale

𝐆𝐞𝐦𝐢𝐧𝐢 1.5, 𝐚 𝐜𝐨𝐧𝐭𝐞𝐱𝐭 𝐰𝐢𝐧𝐝𝐨𝐰 𝐞𝐪𝐮𝐢𝐯𝐚𝐥𝐞𝐧𝐭 𝐭𝐨 1 𝐡𝐨𝐮𝐫 𝐨𝐟 𝐯𝐢𝐝𝐞𝐨, 𝐰𝐚𝐬 𝐫𝐞𝐥𝐞𝐚𝐬𝐞𝐝 𝐞𝐚𝐫𝐥𝐢𝐞𝐫 𝐭𝐡𝐢𝐬 𝐰𝐞𝐞𝐤. Google released Gemini 1.5, boasting a context window of 1 million tokens, equivalent to 1 hour of video or 11 hours of audio. 𝐀 𝐭𝐨𝐤𝐞𝐧 is like a building block of language, representing individual words or punctuation marks. In Gemini 1.5, a context window of 1 million tokens means the model can process vast amounts of text at once, leading to more nuanced understanding and responses. 𝐖𝐡𝐲 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫? - Complex reasoning: With this enhanced context window, Gemini can delve deeper into text, enabling complex reasoning and more accurate responses. - Developer utility: For developers, this advancement is invaluable, providing sufficient context for Gemini to understand intricate details of codebases. This development places Google at the forefront of language models, surpassing Anthropic's Claude, which previously held the record with a 200 thousand token context window. https://lnkd.in/grwgDPeN #artificialintelligence #ai #llm

Google started offering a limited preview of 1.5 Pro to developers and enterprise customers via AI Studio and Vertex AI. Read more about this onGoogle for Developers blog #ai #ml #deeplearning #llm

Stack Overflow just announced OverflowAI, an AI tool that will help developers solve problems faster. OverflowAI can generate cited answers to questions, and it can even continue to build off of the answer as you ask follow-up questions. This is a game-changer for developers, and it has the potential to revolutionize the way we find answers to our questions. Check out OverflowAI today and see how it can help you solve your problems faster! Read more here : https://lnkd.in/dvMysjhG #ai #stackoverflow #developer #softwaredevelopment

Transform workflows through AI-powered partnerships. Zones ensures seamless integration of generative technologies developed under Microsoft's comprehensive framework for ethical AI design and deployment from the start. Read our blog for more. https://hubs.li/Q02q7HZm0

The rise of AI and no-code #WebDev platforms has sparked a debate: Are web developers still necessary? Our latest blog post can give you the answer. Key insights include: ▪️ A comprehensive analysis of the current #WebDevelopment landscape to give you a clear picture of the industry. ▪️ An overview of popular no-code #WebDev platforms, detailing both their advantages and disadvantages to help you understand their impact. ▪️ A thorough discussion on the future of #WebsiteDevelopment, exploring how AI advancements are shaping the field. Eager to read the full story? Click here: https://lnkd.in/gkbYgz8X