All Episodes
Displaying 1 - 22 of 22 in total
The Future is Fine Tuned (with Dev Rishi, Predibase)
Dev Rishi is the founder and CEO of Predibase, the company behind Ludwig and LoRAX. Predibase just released LoRA Land, a technical report showing 310 models that can o...
Pre-training LLMs: One Model To Rule Them All? with Talfan Evans, DeepMind
Talfan Evans is a research engineer at DeepMind, where he focuses on data curation and foundational research for pre-training LLMs and multimodal models like Gemini. I...
On Adversarial Training & Robustness with Bhavna Gopal
"Understanding what's going on in a model is important to fine-tune it for specific tasks and to build trust."Bhavna Gopal is a PhD candidate at Duke, research intern ...
On Emotionally Intelligent AI (with Chris Gagne, Hume AI)
Chris Gagne manages AI research at Hume, which just released an expressive text-to-speech model in a super impressive demo. Chris and Daniel discuss AI and emotional u...
Why Greatness Cannot Be Planned (with Joel Lehman)
Former OpenAI Research Scientist Joel Lehman joins to discuss the non-linear nature of technological progress and the present day implications of his book, Why Greatne...
Where are the good AI products? (with Varun Shenoy)
“Where are the good AI products?” asks Varun Shenoy, ML engineer in his latest blog post. Varun and I talk through:What are the cool applications that exist? Why aren'...
The End of RAG (with Donato Riccio)
ML Engineer and tech writer Donato Riccio wrote an article entitled "The End of RAG?" discussing what might replace Retrieval Augmented Generation in the near future. ...
GPUs and how the cloud is changing (with Cedana Founder, Neel Master)
What’s going on with GPUs? We talk through the GPU bottleneck/supply gut, Meta’s apparent 600,000 H100-equivalents and the future of the GPU cloud.Neel Master is the C...
Live Video Translation with AI
Founders of Lingopal, Deven Orie and Casey Schneider, join to talk about their startup story, developing real-time translation software for enterprises.Topics include:...
Is open-source AI safe? (with SafeLlama founder, Enoch Kan)
Founder of the SafeLlama community, Enoch Kan joins us today, to talk about safety in open source and medical AI. Enoch previously worked in AI for radiology, focused ...
What is the future of AI-assisted or AI-driven software?
Join Daniel Cahn on another SlingTalk episode with Kristian Freed (ex-CTO at Pariti and Elder), discussing the past, present and future of AI-assisted or AI-driven sof...
Is the Turing Test Outdated?
In 1950, Alan Turing asked, “Can machines think?” He suggested the Imitation Game as a test to evaluate whether a machine can think, more commonly called the “Turing T...
Prompt Engineering
Join Daniel Cahn on SlingTalks as he welcomes Jonathan Pedoeem (Founder of PromptLayer) to talk through Prompt Engineering. This episode offers an in-depth look into t...
AI for Investment Diligence
Adam Kirsh (Head of Product & Engineering, Stealth Startup) joins Slingshot to talk about how AI is transforming investment due diligence.Beyond AI in diligence, we di...
The Myth of Human-in-the-Loop
Ex-Datadog Founding PM, Ayush Kapur, joins Daniel Cahn on SlingTalks to talk through the overloaded term, "Human in the Loop". They hone in on the impact of both, emot...
AI-Generated Content and the Boring Apocalypse
AI is increasingly doing the heavy lifting in our communications and content generation. On this episode, Guilherme Freire, Founding ML Engineer at Slingshot, joins th...
Programming for Machine Learning (Tech Talk)
Daniel hosts our machine learning research intern and Cambridge Masters student, Andy Lo, to talk about the present and future of ML programming. Topics include:PyTorc...
AI's End of History Illusion
In this episode, Daniel shares his perspective on the opportunities for the next wave of AI-native startups.Machine Learning isn’t just about sentiment classification,...
Design Driven Development at Slingshot
Daniel hosts our Founding Engineer, Edwin Zhang to unravel the balance in Design Driven Developments. Key things they cover:The conundrums faced when balancing user wa...
LLM Inference Speed (Tech Deep Dive)
In this tech talk, we dive deep into the technical specifics around LLM inference.The big question is: Why are LLMs slow? How can they be faster? And might slow infere...
Why is Llama 2 Open Source? What is Meta up to?
This episode delves into the ongoing debate of the competitiveness between open-source and closed-source models and the reasons behind Meta's decision to publish Llama...
Can AI be Creative?
Ever seen a piece of work and thought, "Wow, a machine did that?" In our very first Slingtalk episode, we unravel the broad world of AI and where creativity plays a pa...