ChainGPT Labs’ Post

Don't like to read reports? Can't read at all? Well, you're in for a treat! On April 10, we're hosting four sharpest minds in RevOps so we can dish on its findings, including Matthew Volm, Shriya Ravikumar (she/her), Mat Rodriguez and James McArthur 👋! Topics'll include: • The integration of AI (or lack thereof) in revtech • Evolving budgets for the year ahead • Reasons to actually be optimistic (well, cautiously) And a lot more. Join up at the 🔗👇

Developing GenAI applications requires navigating a sprawling tech stack and a long list of quandaries to solve for, including: • How to source high-quality datasets for fine-tuning? • How to determine the best methods for evaluating model accuracy? • How to ensure ongoing model monitoring consistency? Access the webinar, featuring our Sr. Director, Product Strategy & Marketing, Ajinkya Malasane, and the Co-founder and CEO of 🔭 Galileo, Vikram Chatterji, to uncover key practices to ease the complex decision-making process inherent to building and deploying GenAI applications. https://lnkd.in/gkQgNu_X #GenAI #TechStack #Webinar

What UIUX is for websites and apps. Fine-tuning is for LLMs. The ultimate user experience of GenAI apps is created by innovative post-training techniques like fine-tuning & evaluation. Vikram Chatterji, CEO & Cofunder 🔭 Galileo and I thought we should un-riddle some of these techniques for the broader AI community. Find out how great GenAI apps are set apart from the good ones in this webinar.

𝐉𝐮𝐬𝐭 𝐡𝐨𝐰 𝐭𝐫𝐮𝐥𝐲 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐢𝐬 𝐚𝐧 𝐀𝐈 𝐜𝐨𝐮𝐧𝐜𝐢𝐥 𝐟𝐫𝐨𝐦 𝐚𝐧𝐲 𝐨𝐭𝐡𝐞𝐫 𝐜𝐨𝐮𝐧𝐜𝐢𝐥, 𝐭𝐡𝐢𝐧𝐤 𝐭𝐚𝐧𝐤, 𝐩𝐫𝐨𝐠𝐫𝐚𝐦, 𝐨𝐫 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞 𝐰𝐨𝐫𝐤 𝐭𝐞𝐚𝐦 𝐭𝐡𝐚𝐭 𝐲𝐨𝐮'𝐯𝐞 𝐩𝐮𝐭 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫 𝐟𝐨𝐫 𝐛𝐢𝐠 𝐭𝐞𝐜𝐡 𝐜𝐡𝐚𝐧𝐠𝐞𝐬? I'm hosting a webinar on how to build an AI Council coming up this month - cohosted with Jasper. How to express this HUGE difference has been challenging. Ethan Mollick nailed it in this post from last year. Do yourself a favor and read it - https://lnkd.in/dAtFuxNv)

Unlock the future of distributed systems with ATProto! Discover how this framework is revolutionizing AI integration in public health. Ready to see the impact? 🌐 Dive in now and join the conversation on how tech is transforming our world. 🚀 [Link]

🌟 What an incredible experience at SlatorCon Silicon Valley! It’s always a pleasure to meet with clients and connect with industry leaders, exploring the latest innovations and market trends shaping the language industry. A big thanks to Florian Faes and the Slator team for having us — we’re already looking forward to the next one! Read Slator’s full article on Mark Lawyer and Vasagi Kothandapani’s keynote here: https://hubs.ly/Q02PsX2j0 Some of the key highlights: • “2023 was the year of POCs for AI; 2024, the year of production — that is, implementing, putting into production, and adopting that technology” • While 87% of C-Suite execs feel pressure to implement GenAI solutions, and 76% are excited about the potential benefits, more than one-third (36%) have concerns, such as worries that resources would be better spent elsewhere. • Competitors who can localize faster and evolve to meet clients’ changing needs and preferences will always have a competitive advantage #SlatorConSV24 #SlatorCon #RWS #GenuineIntelligence #L10n

Our purpose is to enable healthcare organizations be future ready. It’s what drives our team and everything we do. Here are a few glimpses of the GenAI Genius@Work initiative at Indegene, where ~200 Indegeons, who are life sciences specialists, came together to participate in a GenAI reverse hackathon to solve for real-world life sciences challenges through prompt engineering on our proprietary GenAI workbench! The initiative aimed at seamlessly integrating the remarkable capabilities of Generative AI into our daily operations. Watch this space for the winners from the reverse hackathon! #FutureReadyHealthcare

Really exciting news today regarding the announcement of Zuora's planned acquisition of Togai to help support the monetization of #GenAI and usage based business models. See details 👇 #Zuora #Togai #TotalMonetization

Exciting news as the leader in the subscription economy strengthens our usage based offerings which are becoming more and more prominent in the market. In this macroeconomic climate consumption based monetization models offer steady streams of income condition adverse. Are you thinking about consumption models for your business? Let’s talk.

Today's the day: come learn Why RAG is Not Enough and why you should implement a RAG Data Engine (Mikayel from Activeloop), various LLMOps best practices (Diego Kiedanski, Tryolabs) and advanced Agents (Laurie Voss, LlamaIndex) to solve real business and research problems with GenAI. Only few last spots remaining, register below!