Humanloop

"There are advantages to being early but you do not get the right to win just by being early" Sean Wang (aka Swyx) is the founder of the AI Engineer World's Fair and author of "Rise of the AI Engineer". Watch his full conversation with Raza about AI engineering among many other things here: https://hubs.ly/Q02DLCTM0

What's the difference between an AI engineer and an ML engineer? "The AI engineer looks after the 0-1 phase whereas the ML Engineer takes on the 1-N phase" Shawn Wang (aka Swyx) penned the viral essay 'Rise of the AI Engineer' (https://lnkd.in/gHGe3jfK) and is the founder of the AI Engineer World's Fair. He joined Raza on the High Agency podcast this week to discuss what an AI engineer really is. Watch: https://hubs.ly/Q02DLCTM0

𝐓𝐡𝐞 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐥𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞 👇 A few years ago, very few of these platforms existed. Today, there are now thousands of Generative AI startups who have raised billions. In these market maps, we discover the latest 👇 🔍 200+ enterprise platforms 👀 70+ vertical platforms 💰 The latest investors And more! What to do next 🛎️ Tag a founder who we should include next time! 👍 Save to read later on! Newsletter link to access the companies and insights can be found in my bio!

I'm a big fan of the Artifacts feature in Anthropic's Claude 3.5 Sonnet release. There are a number of great advances in Claude 3.5 Sonnet so why am I so impressed by Artifacts? In its current state it's mostly a UX feature but I believe it could be headed a massive strategic direction: 1️⃣ Own the workflow to own the feedback - a thumbs up/down and comment on AI output is both rare and often lacks enough specificity to be useful. However, better quality id difficult since people take model output then leave the generation environment to work with it. Creating a workplace of versions and eventually edits can exponentially improve feedback quality by containing the entire workflow in the generation environment. 2️⃣ Ongoing research advanced in RLHF - if you've been following along you know I believe current PPO methods in RLHF are incredibly basic and am excited about methods like DPO and PERL. If Anthropic has the interface to capture higher quality feedback from users and is simultaneously researching RLHF methods which train on higher quality feedback, they can achieve big advances in model quality. For a bit more detail, Humanloop does a great job capturing different types of AI feedback ➡️ https://lnkd.in/dDVv7Q9e #ai #generativeai #anthropic #claude #rlhf #news #innovation

Will you be attending the AI Engineer World’s Fair this week in SF? If so, you don’t want to miss this session… Tomorrow our CEO Raza Habib will be sharing practical insights from AI leaders from the #HighAgencyPodcast as well as Humanloop customers like Duolingo, Gusto, Vanta, Filevine, Ironclad, Sourcegraph, and many more. These trailblazers have successfully implemented #LLMs in production, and we’ll be bringing actionable lessons and best practices for how to get #GenAI apps from prototype to production. A glimpse at what we’ll be covering tomorrow at the AI Leadership track on Wednesday, June 26 12:15 p.m. PT: 🔹 The essential skills your team needs to thrive 🔹 Tips for running hashtag #RAG in production 🔹 How to choose the right evaluations 🔹 What it takes to succeed with AI agents Join us to gain valuable knowledge and actionable strategies to leverage LLMs effectively in your organization. Link to session details in the comments.👇 See you there!

Users have been going nuts over Claude 3.5 Sonnet since we added it last week! — 2x the speed — 1/5th the cost — yet smarter than Claude 3 Opus Our interface has full support for images, variables and multiple tool calls for Claude 3.5 Sonnet👇

This week is the AI Engineer World Fair in SF. Our CEO Raza Habib interviewed Shawn Wang, author of "Rise of the AI Engineer" and founder of the conference. They discussed: 1. What an AI Engineer really is 2. The right team to build AI products and 3. Shawn's predictions for trends in both research and products.

The Generative AI Market Map 18 months ago, there were just a few hundred early stage startups building across Generative AI. Fast forward to where we are today and there are now thousands. In this market map, we discover 👇 📆 The last 18 months across Generative AI 🚀 The latest 200+ enterprise startups 👀 The latest 70+ vertical startups 🔍 The most active investors ⏰ The next phase for Generative AI And more! Learn how Generative AI is rapidly advancing and where it goes from here 👉 https://lnkd.in/d6rS4qXD

🟦 Découvrez notre sélection des 100 startups à suivre dans le secteur de l’IA Générative. 🔎 Ce panorama est extrait de notre étude sur le même sujet et aborde les thématiques suivantes :  - Les chiffres clés du secteur  - Les acteurs principaux  - Des zooms sur des cas concrets Pour découvrir l’étude complète, n’hésitez pas à cliquer sur le lien en commentaire pour la télécharger. 👇 A très vite,  L’équipe 🟦Klein Blue.

One big lesson from AI engineers who come from data science... ➡️ Spend more time looking at your production data "You will answer most of the hard (AI) product questions by looking at the data. The data is going to generated as you go and it's going to be generated by the users and the agent" - Bryan Bischof Watch the full episode here: https://lnkd.in/exd9y7Z7