Understandability of Deep Learning Models
Author(s): Lalit Kumar Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Blackbox nature of DL models Deep learning systems are a kind of black box when it comes to analysing how they give …
AI for Everyone: The Biggest AI Myths People Still Believe
Author(s): Sophia Banton Originally published on Towards AI. AI for Everyone: The Biggest AI Myths People Still Believe “AI will take away all of our jobs.” “AI will develop intelligence beyond human control and dominate the world.” “AI doesn’t have personal opinions.” …
How We Taught Machines to Think
Author(s): Vita Haas Originally published on Towards AI. And Occasionally Fail Spectacularly This member-only story is on us. Upgrade to access all of Medium. Artificial Intelligence is no longer lurking in the shadows — it’s in our pockets, powering our social feeds, …
#62 Will AI Take Your Job?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Yet another week, and reasoning models and Deepseek are still the most talked about in AI. We are joining the bandwagon with this week’s resources focusing on whether …
NN#6 — Neural Networks Decoded: Concepts Over Code
Author(s): RSD Studio.ai Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Article by Pushkar In the previous article, we dissected the mechanics of backpropagation, gradient descent, and the pivotal role of the …
RAG Explained: A Comprehensive Guide to Mastering Retrieval-Augmented Generation
Author(s): Ajit Kumar Singh Originally published on Towards AI. Image by Author Hi Everyone 👋 Recently, I worked on a use case involving product matching, which required implementing RAG modeling. At the time, I had limited knowledge of RAG and no hands-on …
Why AI Doesn’t Suggest a Viking Longship When You Ask for the Best Cruise Deals
Author(s): Vita Haas Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine walking into a library the size of a small country, and instead of a single librarian, you have an entire team, …
Freelancing in AI/ML: Building Projects That Stand Out
Author(s): Aleti Adarsh Originally published on Towards AI. Have You Ever Wondered Why Some AI/ML Freelancers Succeed While Others Struggle? This member-only story is on us. Upgrade to access all of Medium. Let’s be real — getting into AI/ML freelancing sounds exciting, …
Efficient Training Engine (ETE) for Large Deep Learning Models
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents : There are many ways to efficiently train a large DL model 1. Parallel / Distributed Training Distributed Data Parallelism (DDP)a. DDP Algorithm Intuitionb. DDP Algorithmc. Code Implementation Model Parallelism (MP)a. …
NN#5 — Neural Networks Decoded: Concepts Over Code
Author(s): RSD Studio.ai Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Analytics Vidhya In our ongoing quest to unlock the brains of AI, we’ve built a foundation of understanding, from the neuron-inspired …
Tired of LLM Chaos? LiteLLM Should Be Your Default
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. Stop juggling multiple LLM APIs and their “standards” This member-only story is on us. Upgrade to access all of Medium. Large Language Models (LLMs) are revolutionizing everything from content creation to customer …
Six Ways to Control Style and Content in Diffusion Models
Author(s): Aliaksei Mikhailiuk Originally published on Towards AI. How to Unleash Creativity with a Painter’s Precision and Your Favourite Diffusion Model This member-only story is on us. Upgrade to access all of Medium. Image generated with Imagen3. Stable Diffusion 1.5/2.0/2.1/XL 1.0, DALL-E, …
🚀 MLflow Experiment Tracking: The Ultimate Beginner’s Guide to Streamlining ML Workflows
Author(s): Harshit Kandoi Originally published on Towards AI. 🚀 MLflow Experiment Tracking: The Ultimate Beginner’s Guide to Streamlining ML Workflows Photo by Alvaro Reyes on Unsplash Introduction Have you ever felt that you were losing command over your machine-learning projects? You might …
TAI #139: LLM Adoption; Anthropic Measures Use Cases. OpenAI API Traffic up 7x in 2024
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Google DeepMind expanded access to Gemini 2.0, OpenAI increased transparency in ChatGPT’s reasoning and thinking steps, and Mistral launched its rapid AI …
Why Binary Cross-Entropy Matters: A Guide for Data Scientists
Author(s): Niklas Lang Originally published on Towards AI. The Mathematics, Intuition, and Implementation of BCE in ML This member-only story is on us. Upgrade to access all of Medium. Photo by Kirk Cameron on Unsplash For machine learning models to learn and …
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