doja’s Post

"Are we there yet?" Listen to Y Combinator's eagle-eye view rather than "the word from the herd" - A year is a long time in AI: "...it's hard to even remember now but a year ago one of the things that people said a lot was that these LLMs are not reliable enough to deploy in the Enterprise they hallucinate... [but now] not only is it translating into real Revenue but translating into real deployments that are being used at Large Scale ...because we've learned how to make the agents reliable via the kinds of techniques that Jake talked about when he was here and all this infrastructure has grown up around the models, it's enabled people to make them reliable. https://lnkd.in/dhtMdgQk #agents #llm #ai

RapidCanvas Raises $16M to Automate Data Science with AI Agents and… Here’s the TL;DR: 1. Funding Milestone: RapidCanvas secured $16M in Series A funding, led by Peak XV Partners with Titanium Ventures, Accel, and Valley Capital Partners participating. 2. AI Innovation: Their platform combines AI agents with expert oversight, automating up to 75% of data science tasks like data prep and modeling, cutting costs and project timelines. 3. Industry Impact: By enabling businesses to create custom AI solutions with natural language prompts, RapidCanvas helps organizations overcome the data science talent gap. Follow Brian Com to learn more about AI Growth Opportunities #ai #ArtificialIntelligence #founder #startup

Grok-2 Takes xAI to New Heights, Outperforming GPT-4 and Claude! Grok-2, now available in beta on the X platform, has achieved state-of-the-art performance, outperforming major competitors like Anthropic’s Claude and OpenAI’s GPT-4 in key areas. This marks a pivotal moment for the startup, which initially launched Grok-1 as a niche, no-filter chatbot. This development positions xAI as a serious contender in the AI industry, offering a model that not only excels in technical benchmarks but also has practical applications ready for enterprise use. With the upcoming release of an enterprise API, xAI is set to attract significant interest from businesses seeking cutting-edge AI solutions. The startup’s access to vast real-time data from X and its ability to draw top-tier talent under Elon Musk’s leadership further solidify its potential for rapid growth and long-term success in the competitive AI market.

CEO Exodus: LaMDA Architect Noam Shazeer Returns to Google, Leaving Character.AI Behind! #shorts #viralreels Breaking News! Character.AI CEO Noam Shazeer makes a surprise return to Google after founding the a16z-backed startup! What does this mean for the future of conversational AI? Shazeer previously led the team that built LaMDA, a language model used for conversational AI tools. Find out more about this significant development in the world of tech!

The future looks promising with the potential for more small businesses to thrive. Accessible AI tools are revolutionizing business initiation and expansion, leveling the playing field for businesses of all sizes. Recent AI advancements, such as OpenAI’s GPT-4o, Google’s AI Overviews, and DeepMind’s Project Astra, highlight the vast possibilities for businesses. This evolving AI landscape not only fosters business growth but also streamlines processes. Small and medium-sized businesses play a crucial role in global economies, and AI has the capability to propel them forward. This advancement represents a future where an increasing number of small businesses and startups can not only emerge but also scale and succeed. The idea of a future where businesses can launch and expand with greater ease is truly exciting. Promising future, isn't it ?

Here is my Step-by-Step tutorial on how to find and Validate Startup ideas using AI and Reddit ⬇️

Brainstorm AI 2024 will bring together the top minds among startups, Fortune 500 companies, investors, policymakers, and academics to discuss this pivotal moment for the industry Join our CEO & Founder, Jonathan Ross , on Dec 9 for a panel titled What Does it Take to Make AI. Together with CEOs of leading AI companies, he'll dig into the nuts and bolts of making artificial intelligence, examine what goes into building large language models, and discuss what’s next for the category. https://hubs.la/Q02-3k7v0

How can your company find real business outcomes in an ever-changing landscape? The world of #GenAI and #LLM ´s (Large Language Model) is evolving at lightning speed, with both tech giants and startups leading the charge. So, how can your company keep up and master the AI market? 💡 In his blog, Andrej Schreiner shares insider tips on transforming AI challenges into unique opportunities for your business. If you don't want to miss out on Andrej's insights, read his blog now: http://ms.spr.ly/6041mWIeS #rethinkthesystem

Need something to fuel your AI ideas? I spent one hour watching and summarising the top 5 takeaways, so you don't have to. 1. Current Use Cases: - Large Language Models (LLMs) are finding success in automating dull, repetitive tasks like form-filling. 2. Challenges and Uncertainties: - There are still many AI "tarpit" ideas that seem promising but may not pan out. - Companies are unsure about how customers will ultimately use AI products like AI co-pilots. - Actual, proven use cases for AI are still lacking 3. Business Implications: - AI could have second-order effects 4. Technical Approaches: - Fine-tuning open-source models on private datasets is a popular but limited approach. - There's a need for purpose-trained, smaller, and localised AI models. - Great UX will be crucial for successful AI products, similar to SQL wrappers. 5. Success Factors and Pitfalls: - Failure often comes from being too general or abstract, lacking a specific use case. - Successful AI products will be tailored to customers' business logic and specific needs - AI voice receptionists could be a promising application. Save this to your watchlist: https://lnkd.in/ejWfM8Yf #AI #productmanagement

The AI revolution is similar to the Internet revolution, but accelerated and amplified. Why? For two decades, we have been laying the foundation for AI adoption. Becoming a digital-first culture is one major piece. Supercomputers in our pocket is another. We are digitally fluent today in a way we weren't in 1996. And now that gen AI has reached a threshold of usefulness, it is catching fire like nothing I've ever seen. 🤖 I write about building startups in the age of AI. Subscribe to the Experimentation Machine newsletter: https://buff.ly/3viAAGH