| 201. | Commercializing LLMs: Lessons and Ideas for Agile Innovation | 3 | |
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| 202. | Disparate Interactions: An Algorithms-in-the-loop Analysis of Fairness in Risk Assessment | AISC | 3 | |
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| 203. | Mathematics of Deep Learning: 2D convolutions, pooling, dilated convolutions - Session 7 | 3 | |
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| 204. | PandasAI - From Open Source to User-centric Products | 5 | |
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| 205. | What is the right team composition in era of LLMs? | 3 | |
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| 206. | Building an LLM Teacher-bot | 4 | |
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| 207. | Building your Product Strategy - A Guide | AISC | 3 | Guide |
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| 208. | A Fireside Chat with AISC NLP experts | 3 | Let's Play |
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| 209. | Camera Depth of Field Manipulation for Pre- and Post-Image Capture | AISC | 3 | |
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| 210. | What are the future plans of Foodshake? | 3 | |
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| 211. | The People, Politics, & Histories Behind Machine Learning Datasets | AISC | 3 | |
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| 212. | (Original Paper) Latent Dirichlet Allocation (discussions) | AISC Foundational | 3 | Discussion |
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| 213. | Science of science: Identifying Fundamental Drivers of Science | AISC | 3 | |
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| 214. | Semi Supervised Learning - Session 2 | 3 | |
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| 215. | AI, Democracy, & Disinformation | 3 | Guide |
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| 216. | Inferring the 3D Standing Spine Posture from 2D Radiographs | AISC | 3 | |
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| 217. | Improving Supervised Bilingual Mapping of Word Embeddings | TDLS | 3 | |
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| 218. | Generative AI Tools and Adoption | 6 | |
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| 219. | Machine Learning for Cyber Security: Graph Theory - Session 12 | 3 | |
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| 220. | Mathematics of Deep Learning: Linear Algebra II: matrices and eigendecomposition - Session 3 | 3 | |
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| 221. | How do you Force an LLM to Keep Track of the Assumptions a Document Makes? | 4 | |
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| 222. | Some Salient Issues with Saliency Models | AISC | 3 | |
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| 223. | Competitive Advantage for Startups in era of LLMs | 3 | |
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| 224. | Evaluating Job Exposure to Large Language Models | 7 | |
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| 225. | Human Feedback Foundation - LLMs | 2 | |
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| 226. | Human-Machine Learning Systems: The Sum is Bigger than the Parts (with Professor Matthew Taylor) | 3 | |
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| 227. | Learning-free Controllable Text Generation for Debiasing | 3 | |
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| 228. | ChatGPT-like application for construction of mathematical financial models | 3 | |
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| 229. | High Performance Computing on Cloud for Generative AI | 3 | |
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| 230. | Expanding the Capabilities of Language Models with External Tools | 3 | |
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| 231. | Founders in Fundraising, and AI Applications | 3 | |
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| 232. | Artificial Intelligence, Ethics and Bias | AISC | 4 | |
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| 233. | How to Annotate Data for LLM Applications | 4 | Guide |
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| 234. | LLM Products vs Traditional Digital Products | 5 | |
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| 235. | Extracting Biologically Relevant Latent Space from Cancer Transcriptomes \w VAEs (algorithm) | AISC | 4 | Vlog |
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| 236. | Testing Strategies for LLMs - SHERPA - Open Source Project Update, 2023-12-08 | 4 | Vlog |
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| 237. | Computational Thinking | 4 | |
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| 238. | Startup Pitch: Automating Data Extraction with AI | 4 | |
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| 239. | Deep Random Talks - Season 2 Teaser | 4 | |
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| 240. | AI Fariness and Adversarial Debiasing | 4 | |
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| 241. | Investing in Emerging Technology & The Nuts & Bolts of How to Raise Money for your Startup | AISC | 4 | Guide |
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| 242. | Data-Driven Behavior Change and Personalization - DRT S2E10 | 4 | |
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| 243. | Reinforcement Learning: Introduction - Session 1 | 4 | |
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| 244. | Extracting Biologically Relevant Latent Space from Cancer Transcriptomes \w VAEs(discussions) I AISC | 4 | Discussion |
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| 245. | Reinforcement Learning: Fundamentals - Session 2 | 4 | |
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| 246. | Data Structure for Knowledge = Language Models + Structured Data - DRT S2E13 | 4 | |
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| 247. | Machine Learning to Assess Trends and Alignment of Funded Research Output | AISC | 4 | |
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| 248. | Mathematics of Deep Learning: Convolutions- Session 6 | 4 | |
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| 249. | Automatic Evaluation of Dialogue Systems using LLMs | 6 | Vlog |
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| 250. | Mathematics of Deep Learning: Linear Algebra IV: loss functions - Session 5 | 4 | |
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| 251. | Subexponential-Time Algorithms for Sparse PCA | AISC | 4 | |
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| 252. | Support Vector Machine (original paper) | AISC Foundational | 4 | |
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| 253. | Distributed Data Engineering for Science - OpSci - Holonym - DRT S2E16 | 4 | |
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| 254. | Nodes, Edges and Properties; Graph Analysis Intro for ML Newcomers | 4 | |
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| 255. | AI Ethics Then & Now: A Look Back on the Last Five Years | AISC | 4 | |
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| 256. | AI Data Considerations in Medicine | 4 | |
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| 257. | Design for Augmentation (not Automation) | AISC | 4 | |
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| 258. | What is the relationship between LLMs and multi-modality? | 4 | |
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| 259. | Information Retrieval for Price Consistency Monitoring - Liu Yang (Amazon) | 4 | Guide |
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| 260. | Agents Embedded in the Real World | 3 | |
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| 261. | Data Products - Accumulation of Imperfect Actions Towards a Focused Goal - DRT S2E15 | 4 | |
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| 262. | Climate Action Directed by AI Methodologies | 4 | Vlog |
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| 263. | Intro to Language Model Operations (LLM-Ops) | 14 | |
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| 264. | Climate Risk Exposure Analysis Machine | 4 | |
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| 265. | Multi-agent LLMs Course #business #startup https://maven.com/forms/30a683 | 5 | |
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| 266. | Total Recall with NLP and LLMs - Deep Random Talks | 4 | Let's Play |
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| 267. | EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis | 4 | |
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| 268. | Towards a Critical Race Methodology in Algorithmic Fairness | AISC | 4 | Vlog |
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| 269. | Investing in Deep Tech - Investor's Angle; Deep Random Talks S2E8 - Ft. Moien Giashi, Amir Feizpour | 4 | |
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| 270. | Exploring the agency limits of today's LLMs | 4 | |
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| 271. | Invest in Deep Tech like an Engineer - Deep Random Talks | 4 | |
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| 272. | Unfolding the Maze of Funding Deep Tech; Metafold - DRT S2E14 - Ft. Moien Giashi, Alissa ross | 5 | |
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| 273. | AISC Abstract Night June 20 2019 | 5 | |
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| 274. | Are long context LLMs the death of RAG? | 5 | |
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| 275. | Model Packaging Overview (NLP + MLOps workshop sneak peak) | 5 | Let's Play |
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| 276. | Intersection Between LLMs and Products | 5 | |
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| 277. | Annotating Object Instances With a Polygon RNN | AISC | 5 | |
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| 278. | AISC Abstract Night September Edition | AISC | 5 | |
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| 279. | Team Emotion | 5 | |
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| 280. | COVID and Racial Inequity, and Implications for AI | 5 | |
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| 281. | Getting into Reinforcement Learning - Fireside Chat | 5 | |
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| 282. | Near-optimal Evasion of Randomized Convex-inducing Classifiers in Adversarial Environments | AISC | 5 | |
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| 283. | Reducing Gender Bias in Google Translate | Melvin Johnson | AISC Algorithmic Inclusion | 5 | |
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| 284. | The Importance of Privacy in ChatGPT and LLMs | 5 | |
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| 285. | Highly Recommended: A Fireside Chat with AISC's Resident Experts on Recommender Systems | 5 | |
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| 286. | BillionX acceleration using AI Emulators | AISC | 5 | |
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| 287. | Forecasting Systems and Disruption with Transformers | 5 | |
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| 288. | Diving Into Document Question and Answering Systems with LLMs | 7 | |
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| 289. | LLM Evaluation, Validation, and Verification | 7 | Discussion |
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| 290. | The Importance of Strategy in AI Product Management | AISC | 5 | |
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| 291. | Predicting and Understanding Human Choices using PCMC-Net with an application to Airline Itineraries | 5 | |
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| 292. | Operationalizing the AI Canvas for AI Product Success (and profit) | AISC | 5 | |
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| 293. | Knowledge Extraction from Multimodal & Multilingual sources | AISC | 5 | |
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| 294. | Acetock - Stock Prediction Tool for Amateur Investors | Workshop Capstone | 5 | |
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| 295. | Identifying Big ML product opportunities inside Big organizations | AISC | 5 | |
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| 296. | AI for a Sustainable Future: Think Globally, Act Locally! | AISC | 5 | |
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| 297. | Mathematics of Deep Learning: Why convolutions, sobel & scharr filters Session 8 | 5 | |
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| 298. | Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Net | 5 | |
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| 299. | Building and leveraging pragmatic AI solutions for legal services | AISC | 5 | |
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| 300. | Integrating Privacy is Integrating Ethics: What privacy could have done for Clearview AI | AISC | 5 | |
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