All Episodes
Artificially Unintelligent — 52 episodes
E49 Arxiv Dives: Retrieval Augmented Generation for Knowledge-Intensive NLP Tasks
E48 Making LLM Training Easier with Hugging Face's TRL
E47 A Retrospective on OpenAI's Turbulent Weekend: Leadership, Breakthroughs, and Speculations
E46 Unpacking FastAPI: Simplifying API Development in Python
E45 Graphcast - How Google DeepMind is Changing Weather Forecasting
Extra Gemini Unveiled: Google's Answer to GPT-4
E44 AI’s New Building Blocks: What are Foundation Models?
E43 Diving Deep into Code Llama: The AI Coding Specialist
E42 A Deep Dive into PyTorch Lightning: Powering Your Next AI Projects
E41 Meta's AI Ambitions: Unpacking Llama 2, Generative Ads, and Legal Landscapes
E40 Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity
E39 Cuda - What is it? How to use it? Why should you learn it?
E38 NVIDIA's Transformation into an AI Powerhouse
Extra OpenAI Unleashed - OpenAI is Leaping Towards Personalized Models // Turbocharging GPT-4 with Capabilities // A Boatload of Model Releases
E37 How can we prevent the misuse of pictures and stop deepfakes? A look at recent developments.
E36 Untangling the Decision Making Process of Neural Networks - A Paper Deep Dive of Zoom In: An Introduction to Circuits
E35 How to control your ML experiments? A Look at Weights & Biases and MLFlow
E34 AI Companies Flying Under the Radar
E33 A Path to Unlimited Generation? A First Look at Attention Sinks
E32 How to Use Docker? AI Engineer's Toolbelt.
E31 The Trends and Findings that Are Shaping AI - State of AI Report
E30 Segment Anything - A Foundational Model for Image Segmentation
E29 How to stay on top of your dependencies using Poetry
E28 General Robots, DALL-E 3, GPT4-V, XGBoost3, Future of AI Features
E27 SapientML: Taking over the Job of the Datascientist
E26 The Future of the Data Scientist
E24 How to Change the World? A Look at Causality
E25 Agents - Will they replace our workforce?
E23 How will we work with AI and robots in the future?
E9 A Primer on Recommendation Systems
E10 A(rtificial) G(eneral) I(ntelligence)
E11 Synthetic Data - Speed up your Hobby Projects
E6 AI in Sports - How AI can boost your fitness journey and reinvent professional sports
E20 AI in Education
E14 Study Formats for your next Paper
E13 State of AI: Today, Tomorrow, and Beyond
E15 Intro to Federated Learning
E22 What’s next in AI? A Look at the Gartner Hype Cycle
E21 Data Collection for AI
E19 Pre-training -> Finetuning as the future of ML?
E18 AI in Crop Monitoring
E17 Deepfakes
E16 Case Studies of Federated Learning
E12 An intro in Reinforcement Learning
E8 Will prompt-engineer be the next "sexiest job" after data scientist?
E7 Can AI help you improve your health?
E5 AI on the Edge at the Edge
E4 A Practical Primer on Large Language Models
E3 AI monitoring: What to look out for?
E2 AI in Academia vs. Industry: What is the difference?
E1 How to get started in AI?
Artifially Unintelligent Teaser