MLA 025 AI Image Generation: Midjourney vs Stable Diffusion, GPT-4o, Imagen & Firefly

MLA 025 AI Image Generation: Midjourney vs St...

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MLA 026 AI Video Generation: Veo 3 vs Sora, Kling, Runway, Stable Video Diffusion

Google Veo leads the generative video market with superior 4K photorealism and integrated audio, an advantage derived from its YouTube training data. OpenAI Sora is the top tool for narrative storytelling, while Kuaishou Kling excels at animating static images with realistic, hig ...  Afficher plus

MLA 027 AI Video End-to-End Workflow

How to maintain character consistency, style consistency, etc in an AI video. Prosumers can use Google Veo 3's "High-Quality Chaining" for fast social media content. Indie filmmakers can achieve narrative consistency by combining Midjourney V7 for style, Kling for lip-synced dial ...  Afficher plus

Épisodes Recommandés

Santiago Valderrama on Getting Smarter on Machine Learning, One Problem at a Time - Ep. 173
NVIDIA AI Podcast

Want to learn about AI and machine learning? There are plenty of resources out there to help — blogs, podcasts, YouTube tutorials — perhaps too many. Machine learning engineer Santiago Valdarrama has taken a far more focused approach to helping us all get smarter about the field. ...  Afficher plus

Serverless NLP Model Training
Data Skeptic

<span class="s1">Alex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning pipeline.<span class= "Apple-converted-space"> </span> The is a technical deep dive on architecting solutions and a discussion of ...

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474: The Machine Learning House
Super Data Science: ML & AI Podcast with Jon Krohn

In this episode, I discuss the architecture of a “machine learning house”, representing the skills and learnings you can use as foundations to build your data science career. Additional materials: www.superdatascience.com/474 

Creating instruction tuned models (Practical AI #223)
Changelog Master Feed

At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling ...  Afficher plus