Stephanie Wong’s Post

As of today, Gemini 1.5 Pro continues to be a leading proprietary model, offering state-of-the-art capabilities in price-performance compared to GPT4o, Grok2 and Claude 3.5 Sonnet 🏆 With our latest updates, 1.5 Pro and Flash are even better, faster, and more cost-effective for production use. ⚡️ We are also increasing the paid tier rate limits for 1.5 Flash to 2,000 RPM and increasing 1.5 Pro to 1,000 RPM, up from 1,000 and 360, respectively. And that's not all! We're thrilled to announce significant price reductions for Gemini 1.5 Pro, effective October 1st, 2024: 💰 64% off input tokens 💰 52% off output tokens 💰 64% off incremental cached tokens More info here: https://lnkd.in/d7rEt27k #Google #GoogleCloud #Gemini #AI #Innovation

🎉 I am incredibly honored to witness our $24M Series A launch at Nasdaq with my incredible team! Brian Benedict Hayley Brodeur Molly Niland Joseph Maher Mary MacCarthy Huge congratulations to all my amazing co-workers at Arcee AI! 😎🚀 Arcee AI emerged late last year bringing Small Language Models (SLMs) to the market as a powerful alternative to #LLMs.  As the future of Generative AI shifts towards smaller, specialized language models, we’re proud to be leading the way in making this vision a reality. 🌟Our formula is simple: 30% performance enhancement + 90% cost reduction = 100% a model you own. Check out our cutting-edge technology for yourself in the just-released cloud version of our platform: https://hubs.li/Q02FSj-C0 #ArceeAI #SeriesA #GenerativeAI #Innovation #SLMs #FutureTech #Nasdaq

Join our TWIML Generative AI Study Group organized by Sam Charrington where we connect, share, and discuss topics on #RAG, #LLMs, breakthrough research, and more! 🤖 Engage in open discussion, share #generativeai news articles, and collaborate on building the TWIML-RAG project along with deep dives into code. Moreover, build and evaluate LLM agents with effective prompting techniques, amongst other stuff moderated by Darin Plutchok! 🎯 Last week we looked into Adaptive RAG, discussed Google's Cloud Next conference & open-source models, had an overview of Fine-Tuning and Optimization of AI Models, Future Prospects of AI in Business, amongst others! 🛠 Full details here ➡ https://lnkd.in/gKbFSYrd If you’re interested in joining, register at https://lnkd.in/gDBhkPZg and meet us every Friday at 8 am PT. See you there! 🚀 #DataScience #MachineLearning #ArtificialIntelligence

Yesterday, the GSDC organized a roundtable on Demystifying Artificial Intelligence (AI) for Business, focusing on debunking misconceptions and exploring practical applications in business. Over 30 investors participated and gained insights into how AI technologies function and can be implemented in different business scenarios. The objective was to shift away from the hype, address common misconceptions, and provide a realistic view of AI's impact on business innovation and growth. Big thanks to St. Cloud State University and the Professional and Continuing Education Division (PACE) for collaborating on this fantastic event! #econdev #ai

Open-Source AI Leaps Forward with LLAMA 3.1 Meta's introduction of LLAMA 3.1 marks a pivotal moment for Open-Source AI. Boasting up to 405B parameters and a 128K context length, it outperforms models like Gemini and Claude 3.5 Sonnet in various benchmarks. Key features: 🦙 Seamless integration with Hugging Face, AWS, and NVIDIA 🦙 Potential for industry-specific customization 🦙 Promising alternative to proprietary models Connect with us to explore Open-Source AI's potential for your business: https://lnkd.in/gwJFD_Hn #OpenSourceAI #LLAMA3 #TechTransformation #iQuasarSoftware 

Builder vs Buyer: AI is Adding a Pepper to This Recipe The growth in tech is set to be dramatically different now. As John Chambers, the former and renowned Cisco CEO, recently said, "about 10 times faster, 10 times bigger than what we saw just a few decades ago." Chambers believes that AI will surpass the impact of both the Cloud and the Internet Era combined. This brings us to a crucial decision point: should you make or buy an AI solution? This is a question I hear frequently from customers. Currently, it’s all about Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Using these AI technologies, building anything seems “easy.” However, the big question isn’t whether your company can build these solutions. It’s about how much you can accelerate your business by implementing them efficiently. In the end, it’s all about time. Deciding whether to build or buy depends on how quickly you need to deploy AI solutions and how these choices align with your business goals. 𝗣.𝗦.: How about starting your day with a dose of “Coffee with Mandl”? You can get our daily updates straight to your inbox, and the best part: it’s free! The link to subscribe is in my bio. Come have this coffee with us! ☕️🚀

Check the new AI-on-Demand Platform video on #AI and #innovation! 👇

Watsonx allows you to choose the right model for your workload, and ensures you can trust the model you choose.

The model landscape will continue to evolve at a rapid pace. A common open platform to ensure you can train. tune, prompt and deploy consistently will shorten the path to value. #aiforbusiness #watsonx