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Riley Goodside

Staff Prompt Engineer at Scale AI, formerly a data scientist. Known for insightful prompting examples and contributions to the field of prompt engineering.

Top 5 podcasts with Riley Goodside

Ranked by the Snipd community
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80 snips
Oct 23, 2023 • 40min

Mental Models for Advanced ChatGPT Prompting with Riley Goodside - #652

Riley Goodside, staff prompt engineer at Scale AI, explores LLM capabilities and limitations, prompt engineering, autoregressive inference challenges, and the application of mental models in improving ChatGPT's performance.
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67 snips
Jun 14, 2023 • 1h 28min

Emergency Pod: OpenAI's new Functions API, 75% Price Drop, 4x Context Length (w/ Alex Volkov, Simon Willison, Riley Goodside, Joshua Lochner, Stefania Druga, Eric Elliott, Mayo Oshin et al)

Full Transcript and show notes: https://www.latent.space/p/function-agents?sd=pfTimestamps:[00:00:00] Intro[00:01:47] Recapping June 2023 Updates[00:06:24] Known Issues with Long Context[00:08:00] New Functions API[00:10:45] Riley Goodside[00:12:28] Simon Willison[00:14:30] Eric Elliott[00:16:05] Functions API and Agents[00:18:25] Functions API vs Google Vertex JSON[00:21:32] From English back to Code[00:26:14] Embedding Price Drop and Pinecone Perspective[00:30:39] Xenova and Huggingface Perspective[00:34:23] Function Selection[00:39:58] Designing Code Agents with Function API[00:42:16] Models as Routers[00:46:48] Prompt Engineering replaced by Finetuning[00:52:15] The 2 Code x LLM Paradigms[00:56:30] Smol Models for the future[00:58:54] The Evolution of the GPT API[01:03:27] Functions API Security vs Prompt Injection[01:16:18] GPT Model Upgrades[01:17:36] JSONformer[01:21:03] Closing Comments - What We Want Next Get full access to Latent Space at www.latent.space/subscribe
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53 snips
Apr 18, 2023 • 1h 58min

E17: The Prompt Engineering Revolution with Riley Goodside

For anyone who discovered this show on Twitter, Riley (@goodside) likely needs no introduction – after all, he spent most of 2022 posting his explorations of OpenAI's text-davinci-002, and quickly became one of the must-follow accounts in AI. Riley Goodside is the world's first Staff Prompt Engineer at Scale AI, and is an expert in prompting large language models and integrating them into AI-powered applications. Few have spent as much time on the language model frontier, so I hope you enjoy this unique conversation with Riley Goodside.We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com.RECOMMENDED PODCAST:The HR industry is at a crossroads. What will it take to construct the next generation of incredible businesses – and where can people leaders have the most business impact? Hosts Nolan Church and Kelli Dragovich have been through it all, the highs and the lows – IPOs, layoffs, executive turnover, board meetings, culture changes, and more. With a lineup of industry vets and experts, Nolan and Kelli break down the nitty-gritty details, trade offs, and dynamics of constructing high performing companies. Through unfiltered conversations that can only happen between seasoned practitioners, Kelli and Nolan dive deep into the kind of leadership-level strategy that often happens behind closed doors. Check out the first episode with the architect of Netflix’s culture deck Patty McCord.https://link.chtbl.com/hrhereticsTIMESTAMPS:(0:00) Preview of the episode(05:13) Riley's unique background(11:24) Riley's original narrow moat(15:07) Sponsors: Omneky(17:02) LLMs can take on ncreasingly complex instructions(27:41) Language models can do math(30:05) Models can learn from context(37:29) Fine-tune models for tasks(38:47) Automate instruction following(44:34) Large language models are alien text prediction(52:27) Avoid mode collapse by framing(59:05) Composing AI capabilities like Lego bricks(1:00:37) Language models solve tasks(1:05:37) GPT-3 solves real-world tasks(1:15:03) GPT-4's amazing capabilities(1:17:03) Multimodal abilities unlock possibilities(1:25:03) Compare models for best task fit(1:26:24) Compare models using trial and error(1:36:15) AI and the future of work(1:42:29) GPT-4 can provide second opinions(1:45:06) AI safety discussion(1:50:20) AI permeates society cautiously(1:55:26) The AI revolution underwayTWITTER:@CogRev_Podcast@Goodside (Riley)@scale_AI (Scale)@labenz (Nathan)SPONSORS:Shopify is the global commerce platform that helps you sell at every stage of your business. Shopify powers 10% of ALL eCommerce in the US. And Shopify's the global force behind Allbirds, Rothy's, and Brooklinen, and 1,000,000s of other entrepreneurs across 175 countries.From their all-in-one e-commerce platform, to their in-person POS system – wherever and whatever you're selling, Shopify's got you covered. With free Shopify Magic, sell more with less effort by whipping up captivating content that converts – from blog posts to product descriptions using AI. Sign up for $1/month trial period: https://shopify.com/cognitiveThank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off.More show notes and reading material released in our Substack: https://cognitiverevolution.substack.com/
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29 snips
Jul 24, 2024 • 1h 27min

From Poetry to Programming: The Evolution of Prompt Engineering with Riley Goodside of Scale AI

Riley Goodside, the world's first staff prompt engineer at Scale AI, discusses the evolution of prompt engineering towards programming. Topics include enterprise AI applications, pushing LLMs limits, and future AI automation.
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Sep 30, 2024 • 1h 9min

Interviewing Riley Goodside on the science of prompting

Riley Goodside, a staff prompt engineer at Scale AI and former data scientist, delves into the intricacies of prompt engineering. He shares how writing prompts can be likened to coding and the recent advancements spurred by ChatGPT. The discussion covers various AI models, including o1 and Reflection 70B, emphasizing the importance of evaluation methods and user control in AI interactions. Goodside also highlights the evolving community of prompt engineers and the pressing need for education in effectively utilizing AI.