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		Most watched
evals	214	Does AgenticRAG Really Work?39K views
agents	166	Everything We Got Wrong About Research-Plan-Implement138K views
platform-teams	144	Building an ML Platform from Scratch: Live Coding Session16K views
monitoring	123	End to End MLOps Basics7,403 views
deployment	120	Large Model Training and Inference with DeepSpeed9,517 views
data-engineering	114	Real-time Machine Learning7,690 views
model-serving	112	System Design for Recommendations and Search95K views
governance	103	Kubeflow vs MLflow11K views
data-quality	99	Building LLM Applications for Production20K views
rag	96	DSPy: Transforming Language Model Calls into Smart Pipelines10K views
observability	94	Why Pydantic AI is the Future of AI Agents18K views
testing	90	Evaluating LLM-based Applications5,717 views
human-in-the-loop	82	2026 The Year of Agent Orchestration21K views
tool-use	80	Guardrails for LLMs: A Practical Approach6,697 views
orchestration	77	MLflow vs Kubeflow 20226,435 views
feature-engineering	75	Machine Learning Design Patterns for MLOps5,242 views
prompt-engineering	73	Generative Interfaces Beyond Chat18K views
guardrails	66	Large Language Models in Production Round-table Conversation14K views
cost	65	Exploring the Latency/Throughput & Cost Space for LLM Inference29K views
build-vs-buy	63	Investing in MLOps2,128 views
security	63	Building Machine Learning Models into Docker Images6,276 views
open-source	59	Why DuckDB is the Future of Data2,698 views
product-strategy	55	LLM Use Cases in Production2,371 views
fine-tuning	53	Building Recommender Systems with Large Language Models13K views
inference	53	Model Merging and Mixtures of Experts2,020 views
feature-stores	52	Feast Feature Store Deep Dive4,570 views
reliability	52	Decomposing the Agent Orchestration System: Lessons Learned13K views
embeddings	50	Vector Databases and Large Language Models9,012 views
context-engineering	44	Big Updates to Redis: Context Engine, Tools, and Memory6,285 views
latency	43	The Challenge with AI Voice Agents15K views
multi-agent	43	Lessons from 25 Trillion Tokens: Scaling AI-Assisted Development at Kilo4,024 views
gpus	41	Efficiently Scaling and Deploying LLMs13K views
workflows	41	The Creator of Superpowers: Why Real Agentic Engineering Beats Vibe Coding2,154 views
multimodal	40	LLM XGBoost: Can a Fine-Tuned LLM Beat XGBoost on Tabular Data?4,235 views
structured-outputs	39	Automating Data Annotation with LLMs4,358 views
privacy	38	What is the role of ML Engineers in the time of GPT4 and BARD?1,843 views
data-pipelines	37	How Pinterest Powers Image Similarity2,340 views
mcp	36	Coding with AI2,181 views
coding-agents	32	Stop Shipping on Vibes: How to Build Real Evals for Coding Agents26K views
experiment-tracking	31	Building an Open Source MLOps Stack with ZenML2,953 views
synthetic-data	30	Fine-Tuning LLMs: Best Practices and When to Go Small10K views
developer-experience	27	Fast.ai, AutoML, and Software Engineering for ML3,603 views
recommender-systems	27	Traditional vs LLM Recommender Systems: Are They Worth It?2,390 views
team-adoption	27	Leading Enterprise Data Teams1,505 views
drift	26	Orchestrating Machine Learning Workflows with Prefect4,216 views
search	26	We're Using AI Agents at Work (and it's amazing)2,987 views
open-models	25	Finetuning Open-Source LLMs3,662 views
voice	25	How Sierra AI Does Context Engineering4,306 views
memory	24	Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory3,612 views
engineering-culture	23	I Don't Like Jupyter Notebooks3,008 views
debugging	21	Big updates to MLflow 3.03,917 views
caching	20	Using Vector Databases: Practical Advice for Production3,159 views
training-pipelines	20	Fury Platform and Fury Data Apps at Mercado Libre2,963 views
enterprise	18	Foundational Models are the Future but...1,132 views
benchmarks	16	All About Evaluating LLM Applications1,516 views
classical-ml	15	Labeled Datasets that Correct Themselves Automatically1,395 views
continual-learning	14	Continuous Delivery and Automation Pipelines in Machine Learning, Part 11,136 views
startups	14	Anatomy of a Software 3.0 Company1,564 views
careers	13	The Journey from Data Scientist to MLOps Engineer1,489 views
reinforcement-learning	13	Building and Curating Datasets for RLHF and LLM Fine-tuning3,363 views
distillation	12	Solving the Last Mile Problem of Foundation Models with Data-Centric AI3,244 views
edge	12	Efficient Deployment of Models at the Edge739 views
model-registry	12	The Birth and Growth of Spark: An Open Source Success Story2,014 views
planning	12	The Modern Software Engineer1,211 views
healthcare	9	Fireside Chat with LLM Startups584 views
notebooks	9	Optimizing Your ML Workflow with Kubeflow 1.01,659 views
reranking	8	LLMs in Production Conference - Part II4,064 views
tracing	7	Evaluation-Driven Development with MLflow 3.01,466 views
finance	6	Harnessing MLOps in Finance503 views
long-context	6	The Real Reason Your AI Models Forget574 views
chatbots	5	Real LLM Success Stories: How They Actually Work685 views
forecasting	4	DataOps is a Software Engineering Challenge770 views
ecommerce	2	The Agent Exchange: Practitioner Insights409 views
demo	1	Let's Build a Website in 10 Minutes with GitHub Copilot3,331 views
workshop	1	Python and Dask: Scaling the DataFrame268 views