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Jared Zoneraich

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(AI) People(AI) PeopleAI People with Jared Zoneraich - Founder at PromptLayerAI People with Jared Zoneraich - Founder at PromptLayer2025-02-0535 minAI and IAI and IHow to Win With Prompt Engineering - Ep. 38 with Jared ZoneraichPrompt engineering matters more than ever. But it’s evolving into something totally new:  A way for non-technical domain experts to solve complex problems with AI. I spent an hour talking to prompt wizard Jared Zoneraich, cofounder and CEO of PromptLayer, about why the death of prompt engineering is greatly exaggerated. And why the future of prompting is equipping non-technical experts with the tools to manage, deploy, and evaluate prompts quickly. We get into: His theory around why the “irreducible” nature of problems will keep prompt engineering relevant Prompt enginee...2024-11-131h 02AI & IAI & IHow to Win With Prompt Engineering - Ep. 38 with Jared ZoneraichPrompt engineering isn’t just about telling AI to solve your problems—it’s about knowing which ones to solve. Yet there’s a mismatch between the people who can identify the right problems—experts with deep domain knowledge—and the technical infrastructure required for developing and refining prompts. Jared Zoneraich, the cofounder and CEO of prompt engineering platform PromptLayer, is bridging the gap with a platform on which non-technical experts can manage, deploy, and evaluate prompts quickly.The role of human prompt engineers, however, has been the topic of controvers...2024-11-131h 02Everyday AI Podcast – An AI and ChatGPT PodcastEveryday AI Podcast – An AI and ChatGPT PodcastEP 294: Why the Future of AI Will Be Built by Non-Technical Domain ExpertsPrompting a large language model requires a bunch of tech know-how right?↳ Super structured inputs↳ RAG↳ Fine-tuningMeh. Not so much. The best way to prompt your way to better results? Flex your domain expertise. Jared Zoneraich, Founder of PromptLayer, joins us to discuss.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Jared questions on building AIRelated Episodes: Ep 164: ChatGPT Doesn’t Suck. Your Prompts Do.Ep 1...2024-06-1432 minPractical AIPractical AIPrompting the futureDaniel & Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sp...2024-03-2045 minChangelog Master FeedChangelog Master FeedPrompting the future (Practical AI #261)Daniel & Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next. Leave us a comment Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today! ...2024-03-2046 minMLOps.communityMLOps.communityCost/Performance Optimization with LLMs [Panel]Sign up for the next LLM in production conference here: https://go.mlops.community/LLMinprod Watch all the talks from the first conference: https://go.mlops.community/llmconfpart1 // Abstract In this panel discussion, the topic of the cost of running large language models (LLMs) is explored, along with potential solutions. The benefits of bringing LLMs in-house, such as latency optimization and greater control, are also discussed. The panelists explore methods such as structured pruning and knowledge distillation for optimizing LLMs. OctoML's platform is mentioned as a tool for the automatic deployment of custom models and...2023-05-0635 min