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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXReinforcement Learning from One Example?
Why 1-shot RLVR might be the breakthrough we've been waiting for The post Reinforcement Learning from One Example? appeared first on Towards Data Science.
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Turning Product Data into Strategic Decisions
For business leaders, product analytics isnβt just about tracking KPIs or building dashboards The post Turning Product Data into Strategic Decisions appeared first on Towards Data Science.
Reducing Time to Value for Data Science Projects: Part 1
Creating centralized and re-usable components for ease of experimentation The post Reducing Time to Value for Data Science Projects: Part 1 appeared first on Towards Data Science.
5 Problems Encountered Fine-Tuning LLMs with Solutions
Fine-tuning remains a cornerstone technique for adapting general-purpose pre-trained large language models (LLMs) models (also called foundation models) to serve more specialized, high-value downstream tasks, even as zero- and few-shot methods gain traction.
5 Open-Source AI Tools That Are Worth Your Time
Learn five powerful open-source AI tools to boost your projects, save time, and stay ahead in AI innovation.
From FOMO to Opportunity: Analytical AI in the Era of LLM Agents
Why the gold rush toward LLM agents does not make analytical AI obsolete The post From FOMO to Opportunity: Analytical AI in the Era of LLM Agents appeared first on Towards Data Science.
Building a Scalable and Accurate Audio Interview Transcription Pipeline with Google Gemini
From prototype to production: real-world insights into building smarter transcription pipelines with LLMs. The post Building a Scalable and Accurate Audio Interview Transcription Pipeline with Google Gemini appeared first on Towards Data Science.
How to Level Up Your Technical Skills in This AI Era
AI tools & vibe coding have hidden tradeoffs. Here's how to use them wisely and why open source is a great secret weapon. The post How to Level Up Your Technical Skills in This AI Era appeared first on Towards Data Science.
AI Agents for a More Sustainable World
How AI agents can help companies measure, optimise and accelerate their sustainability initiatives. The post AI Agents for a More Sustainable World appeared first on Towards Data Science.
Graph Neural Networks Part 4: Teaching Models to Connect the Dots
Heuristic and GNN-based approaches to Link Prediction The post Graph Neural Networks Part 4: Teaching Models to Connect the Dots appeared first on Towards Data Science.
FireDucks: An Accelerated Fully Compatible Pandas Library
Swiftly process your data without hassle with Pandas-like APIs.
5 Ways to Speed Up Your Data Science Workflow
Data science is awesome, waiting for slow code isnβt. Here are five techniques to speed up your workflow and boost productivity.
The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks
Part 2 in a series on rethinking AI alignment and safety in the age of deep scheming The post The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks appeared first on Towards Data Science.
If I Wanted to Become a Machine Learning Engineer, Iβd DoΒ This
My advice to becoming a machine learning engineer The post If I Wanted to Become a Machine Learning Engineer, Iβd DoThis appeared first on Towards Data Science.
How to Ensure Your AI Solution Does What You Expect iI to Do
A Kind Introduction to AI Evals The post How to Ensure Your AI Solution Does What You Expect iI to Do appeared first on Towards Data Science.
Struggling to Land a Data Role in 2025? These 5 Tips Will Change That
Your dream data job isnβt ghosting youβyou just need to search smart. The post Struggling to Land a Data Role in 2025? These 5 Tips Will Change That appeared first on Towards Data Science.
NumExpr: The βFaster than Numpyβ Library Most Data Scientists Have Never Used
A comparative performance test withNumPy The post NumExpr: The βFaster than Numpyβ Library Most Data Scientists Have Never Used appeared first on Towards Data Science.
When OpenAI Isnβt Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents
Data privacy, compliance, and trust gaps in todayβs AI agent integrations The post When OpenAI Isnβt Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents appeared first on Towards Data Science.
Adding Training Noise To Improve Detections In Transformers
Denoising, explained The post Adding Training Noise To Improve Detections In Transformers appeared first on Towards Data Science.
Hands-on Multi Agent LLM Restaurant Simulation, with Python and OpenAI
This is how I used Large Language Models Agents to simulate an end-to-end restaurant process, with Python. The post Hands-on Multi Agent LLM Restaurant Simulation, with Python and OpenAI appeared first on Towards Data Science.
Breaking Out of Beginner: Python Patterns for Intermediate Data Scientists
Learn to leverage Python patterns like a professional.
10 Essential Data Cleaning Techniques Explained in 12 Minutes
Clean your data like a pro with these 10 essential techniques packed into a 12-minute crash course.
Advanced Techniques to Build Your RAG System
This post is divided into three parts; they are: β’ Query Expansion and Reformulation β’ Hybrid Retrieval: Dense and Sparse Methods β’ Multi-Stage Retrieval with Re-ranking One of the challenges in RAG systems is that the user's query might not match the terminology used in the knowledge base.
A Step-By-Step Guide To Powering Your Application WithΒ LLMs
Explore a hands-on guide to integrating large language models into real-world apps, not just read about it. The post A Step-By-Step Guide To Powering Your Application WithLLMs appeared first on Towards Data Science.
Behind the Magic: How Tensors Drive Transformers
The workflow Of tensors Inside Transformers The post Behind the Magic: How Tensors Drive Transformers appeared first on Towards Data Science.
10 Python One-Liners for Machine Learning ModelingΒ
Building machine learning models is an undertaking which is now within everyoneβs reach.
LLM Evaluations: from Prototype to Production
How to monitor the quality of your LLMproduct The post LLM Evaluations: from Prototype to Production appeared first on Towards Data Science.
7 Essential Ready-To-Use Data Engineering Docker Containers
Ready to level up your data engineering game without wasting hours on setup? From ingestion to orchestration, these Docker containers handle it all.
Future-Proofing Your Machine Learning Career in a Rapidly Changing Industry
Key insights, tips, and best practices to help you future-proof your machine learning career in the direction that best resonates with you.
Government Funding Graph RAG
Graph visualisation for UK Research and Innovation (UKRI) funding, including NetworkX, PyVis and LlamaIndex graph retrieval-augmented generation (RAG) The post Government Funding Graph RAG appeared first on Towards Data Science.
Choose the Right One: Evaluating Topic Models for Business Intelligence
Python tutorial for evaluating top-notch bigram topic models in customer email classification The post Choose the Right One: Evaluating Topic Models for Business Intelligence appeared first on Towards Data Science.
Predicting the NBA Champion with MachineΒ Learning
Building a machine learning model to predict the NBA Champion and analyze the most impactful variables. The post Predicting the NBA Champion with MachineLearning appeared first on Towards Data Science.
Music AI Sandbox, now with new features and broader access
Helping music professionals explore the potential of generative AI
Exporting MLflow Experiments from Restricted HPC Systems
A workaround method that bypasses direct communication The post Exporting MLflow Experiments from Restricted HPC Systems appeared first on Towards Data Science.
How to Benchmark DeepSeek-R1 Distilled Models on GPQA Using Ollama and OpenAIβs simple-evals
Set up and run the GPQA-Diamond benchmark on DeepSeek-R1's distilled models locally to evaluate its reasoning capabilities. The post How to Benchmark DeepSeek-R1 Distilled Models on GPQA Using Ollama and OpenAIβs simple-evals appeared first on Towards Data Science.