Prasad Bhamidipati’s Post

OpenAI’s Real-Time API is set to redefine the landscape of AI automation. With GPT-4o at its core, this API enables real-time, human-like interactions with zero lag, bringing a new level of sophistication to automated systems. The inclusion of native speech-to-speech and customizable voices is a game-changer for anyone building automation solutions. For those in the no-code and AI space, this is more than just a tool—it’s a direct path to creating breakthrough solutions that are ready to scale and sell. This innovation is about unlocking real income potential, and it’s time to get ahead of the curve. We're ready to leverage this for next-level AI automation systems. How will you use it? #AI #Automation #NoCode #GPT4

Hey everyone! 🌟 We have some thrilling news to share from the world of AI. OpenAI's GPT-5 is just around the corner, and we at Okeanos Metis are absolutely buzzing with excitement! As AI enthusiasts, we can't help but marvel at the potential advancements this new model promises to bring. From enhanced reasoning capabilities to multi-modal functionalities, GPT-5 is set to revolutionize the way we interact with technology. Imagine an AI that can seamlessly understand and process text, audio, and video all at once. The possibilities are endless! 🤯 But that's not all. One of the most exciting aspects of GPT-5 is its ability to handle multi-phase tasks with greater efficiency. This means it can take on complex tasks that involve multiple steps without losing its way. For instance, in the legal field, it could read a legal document, consult relevant statutes, cross-reference case law, and formulate questions for a deposition—all autonomously. This kind of capability could be a game-changer for many industries, making processes faster and more accurate. 🚀 At Okeanos Metis, we're always on the lookout for the latest advancements in AI to integrate into our solutions. Our mission is to provide cutting-edge AI tools that empower businesses to achieve more. And speaking of cutting-edge, did you know that this very post was generated by Metis, our own AI solution? That's right! Metis is designed to harness the power of advanced AI models like GPT-5 to deliver insightful and engaging content effortlessly. 💡 We're incredibly proud of what we've achieved with Metis, and we're even more excited about the future. As we continue to innovate and push the boundaries of what's possible with AI, we invite you to join us on this journey. What are you most excited about with GPT-5? Do you have any questions or thoughts about the future of AI? We'd love to hear from you! Drop your comments below and let's start a conversation. 😊 Stay tuned for more updates and follow us for the latest in AI innovation. Together, let's shape the future of technology! #AI #GPT5 #OkeanosMetis #Innovation #Tech #Future

For AI Giants, Smaller Is Sometimes Better - Companies are turning their attention to less powerful models, hoping lower costs and solid performance will win more customers. The start of the artificial-intelligence arms race was all about going big: Giant models trained on mountains of data, attempting to mimic human-level intelligence. Now, tech giants and startups are thinking smaller as they slim down AI software to make it cheaper, faster and more specialized. This category of AI software—called small or medium language models—is trained on less data and often designed for specific tasks.  The largest models, like OpenAI’s GPT-4, cost more than $100 million to develop and use more than one trillion parameters, a measurement of their size. Smaller models are often trained on narrower data sets—just on legal issues, for example—and can cost less than $10 million to train, using fewer than 10 billion parameters. The smaller models also use less computing power, and thus cost less, to respond to each query. Microsoft has played up its family of small models named Phi, which Chief Executive Satya Nadella said are 1/100th the size of the free model behind OpenAI’s ChatGPT and perform many tasks nearly as well. “I think we increasingly believe it’s going to be a world of different models,” said Yusuf Mehdi, Microsoft’s chief commercial officer. Link to Free Full Story here: -https://lnkd.in/gCERWin4 Written By - Tom Dotan and Deepa Seetharaman https://lnkd.in/gCERWin4

OpenAI's Voice Engine, Sam Leaves Their Venture Arm, Devin AI Valued at $2B, Overheating AI Market, Microsoft's decision to unbundle Teams from Office, they also review a research paper on using AI to transform website designs into functional code. Show hosts Joe (Eng VP) and Jordan (M&A Deal Lead) worked at various companies from Google, Apple, Facebook, Microsoft, Salesforce, Slack, Carta, Splunk, Wealthfront, Adobe, Microsoft, and more. 🤩 Get access to new stories and blog posts for the episode and the ones we didn't have time to cover, our book recommendations, exclusive episodes and latest AI research for only $5 at buff.ly/45tK7Xo . Direct link to the video: buff.ly/3U2VALb 00:00 Introduction and OpenAI's Synthetic Voice Model 03:04 Potential Risks and Government Regulation 07:04 Sam Altman Leaves OpenAI's Venture Team 10:30 OpenAI's Plans For Their Voice Model And Bank risk 13:10 ChatGPT doesn't require an account 15:08 Cognition Labs and Valuations in the AI Market 19:20 Microsoft Removes Teams From Their Bundle 23:00 AI Companies Need More Data? 28:10 New AI Model: Empathetic Voice Interfaces 36:54 Research: Design 2 Code - LLMs creating websites Don't miss the rest of the video at buff.ly/45tK7Xo #openai #ai #chatgpt #artificialintelligence #microsofthttps://buff.ly/3PNWets

🌟 OpenAI’s latest innovation, GPT-4o mini, is poised to transform the landscape of AI with its groundbreaking features. Here’s why this model is generating buzz: 🔹 Cost-Efficiency Redefined: GPT-4o mini is designed to be more affordable than its predecessor, GPT-3.5 Turbo. Its cost-effective pricing makes cutting-edge AI technology accessible to a wider range of developers and businesses. 🔹 Enhanced Performance: This model surpasses GPT-3.5 Turbo in both textual and multimodal reasoning tasks, setting new benchmarks for AI capabilities. 🔹 Expansive Context Window: With an impressive context window of 128,000 tokens, GPT-4o mini can process and generate detailed responses by handling larger chunks of information. 🔹 Attractive Pricing Structure: Offering rates of just 15 cents per 1 million input tokens and 60 cents per 1 million output tokens, it’s an economical solution for managing substantial data volumes. 🔹 Broad API Integration: Available across various APIs, including Assistants API, Chat Completions API, and Batch API, this model is set to drive innovation in diverse AI-driven applications. 🔹 Knowledge Base: While it doesn’t have real-time data access, GPT-4o mini is equipped with knowledge up to October 2023, ensuring its relevance and utility. OpenAI’s GPT-4o mini is a testament to their commitment to making advanced AI technology more accessible and efficient. This model promises to push the boundaries of what’s possible with AI, enabling more responsive and sophisticated applications. Excited to see how this new model will impact the AI landscape. #AI #MachineLearning #OpenAI #Innovation #TechNews #GPT4omini #AIAdvancements

Headline: 10 Viral Tech News in Generative AI: A Glimpse into the Future Body: - 💰 OpenAI's $100B Valuation: Generative AI's potential skyrockets. - 🛠️ Midjourney's Hardware Venture: AI's influence expands beyond software. - 📸 Google Gemini's Image Generation Fix: Ethical concerns addressed in AI development. - ⚖️ Supio's Legal AI Solution: Automating legal processes with generative AI. - 🤖 Anthropic's System Prompts for Claude: Unlocking the secrets of AI models. - 📰 OpenAI's Deal with Condé Nast: AI-powered content discovery takes center stage. - 🎨 Procreate's Stand Against Generative AI: The debate on AI's impact on creativity continues. - 🗣️ OpenAI's Advanced Voice Mode: AI-powered voice interaction evolves. - 💻 Codeium's $150M Funding: AI-assisted software development tools gain momentum. - 🏠 EliseAI's Chatbot for Property Managers: Generative AI streamlines customer service. #GenerativeAI #TechNews #AIInnovation #FutureOfTech

Exploring the intersection of AI and teamwork, my latest blog dives into the world of AI agent swarms. Discover how they're revolutionising problem-solving across industries with a blend of collective intelligence and cutting-edge technology. For a quick glimpse into this topic, I've also posted an overview slide deck right here. It's a concise look at the exciting world of generative AI and agent swarms. 👉 Read the Full Article: https://lnkd.in/epnz9-gm 👉 See the Overview Slide Deck: https://lnkd.in/eUTdtDRd #AI #AgentSwarms #GenerativeAI #Innovation #ProblemSolving #OpenSource #AutonomousAgents #Automation #MultiAgentSystems #FutureOfWork #ProductivityTools

For AI Giants, Smaller Is Sometimes Better EXCERPT: The start of the artificial-intelligence arms race was all about going big: Giant models trained on mountains of data, attempting to mimic human-level intelligence. Now, tech giants and startups are thinking smaller as they slim down AI software to make it cheaper, faster and more specialized. This category of AI software—called small or medium language models—is trained on less data and often designed for specific tasks. The largest models, like OpenAI’s GPT-4, cost more than $100 million to develop and use more than one trillion parameters, a measurement of their size. Smaller models are often trained on narrower data sets—just on legal issues, for example—and can cost less than $10 million to train, using fewer than 10 billion parameters. The smaller models also use less computing power, and thus cost less, to respond to each query.... #techgiantsthinksmaller #smallercheaperaimodels #aimodelstentimescheaper

As we enter July 2024, there's a shift happening in AI. There's a move from hype to reality, underscored by six critical debates shaping the enterprise landscape. These debates represent fault lines between the zealous believers in imminent superintelligence and those advocating for a more pragmatic approach to AI adoption. For enterprise leaders, understanding these debates is crucial. There are significant stakes for companies looking to exploit this powerful technology, even if it's not the godlike force its most ardent proponents claim. #ai #tech #technology #AItech #business

AI’s rapid early growth is no surprise to those of us who’ve seen tech cycles before. Exponential gains are often strongest in early adoption, it’s the natural curve. Bloomberg belives, even with more compute power, we may not see those same leaps. But incremental advances can still stack up to meaningful progress, driving automation, streamlining workflows, and hopefully unlocking entirely new applications. I’m encouraged by a realistic perspective on AI’s evolution, as overhyping “exponential” breakthroughs can lead to sky-high expectations, especially in the category of generative AI, while steady, sustainable progress is what truly transforms industries. #ai #transformation #marketing