Learn NumPy in 40 Minutes - Python NumPy Tutorial
The video is a rapid‑fire tutorial that teaches viewers how to install, import, and start using the NumPy library in Python, positioning it as a foundational tool for data science, machine learning, and scientific computing. Key insights include the simple pip install command, the recommendation to work in a Jupyter notebook for interactive experimentation, and a walkthrough of array creation methods—np.array, np.arange, np.linspace, np.zeros, np.ones, np.full, identity matrices, and random generators. The presenter emphasizes dtype consistency, shows how to inspect shape, ndim, and size, and demonstrates a performance test where NumPy’s vectorized addition outpaces a Python list loop by roughly 35‑fold. Notable examples feature a one‑million‑element benchmark (0.001 s vs. 0.03 s), a direct comparison of list versus array printing, and a clear illustration of shape (3×3) and dimensionality for 2‑D and 3‑D arrays. The speaker also highlights that NumPy underpins major frameworks like TensorFlow and PyTorch, reinforcing its relevance beyond isolated scripts. The implications are clear: mastering NumPy equips developers with a high‑performance numerical engine, reduces execution time, and lowers computational costs, making it indispensable for any organization building AI or analytics pipelines.
5 Edits That Instantly Make AI Text Sound Human
The video explains how to edit AI‑generated text so it reads like a human author rather than a generic LLM output. Drawing on two years of experience at TORZI, the presenter outlines concrete techniques and a prompt template that keep...
How Small Models Stay Smart
Distillation is the core method for turning massive, high‑performing AI models into compact, fast‑running versions without sacrificing much capability. By treating a large pretrained model as a teacher and a smaller model as a student, developers let the student mimic...
Google’s MedGemma 1.5 & MedASR: Open AI for Medical Imaging and Dictation
Google unveiled two new open‑source AI models aimed at accelerating medical imaging analysis and clinical documentation, expanding its MedGemma family with version 1.5 and launching MedASR for speech‑to‑text conversion. MedGemma 1.5 is a 4‑billion‑parameter multimodal model trained on the MedMA dataset....
How Ricursive Intelligence’s Founders Are Using AI to Shape The Future of Chip Design
The video introduces Recursive Intelligence, founded by Anna Goldie and Aalia Mirhoseni, and explains how they are applying advanced AI techniques to the entire chip‑design workflow. Their mission is to eliminate the long, asymmetric design cycle that currently limits the...
"With Coding Agents, It Doesn't Get Easier, but You Just Move Way Faster."
The video showcases how coding agents such as Codex can automatically generate a self-contained, milestone-driven plan stored in a markdown file, shifting developers from manual outlining to AI-assisted planning. By feeding the specification into a prompt, the agent produces a roughly...
WordPress Rankings Climbing? Here's Why SureRank Works Better | SEO Tutorial
The video walks viewers through installing and configuring SureRank, an AI‑powered SEO plugin for WordPress, positioning it as a superior alternative to established tools such as Yoast SEO, Rank Math and All‑in‑One SEO Pack. SureRank’s core features include one‑click meta‑description generation,...
🤖 Stop Writing Prompts! Build Your First AI Agent in 2026! 🚀
The video announces that by 2026 AI agents have moved from research prototypes to production‑grade components that automate decisions and run real‑world applications. It promotes a free Langchain webinar that will walk participants through building their first autonomous agent from...
What an API Actually Does
The video explains that an application programming interface (API) is the conduit through which software interacts with large language models, whether the model is proprietary, open‑weight, or open‑source. When a developer sends a prompt, the API forwards it to the provider’s...
Google’s Universal Commerce Protocol: AI Can Now Shop for You
Google announced the open‑source Universal Commerce Protocol (UCP), a standardized framework that lets artificial‑intelligence agents complete online purchases end‑to‑end. Until now, AI could only recommend products; actual checkout required bespoke integrations for each retailer. UCP provides a shared language for...
Marking Exam Done by A.I. - Sixty Symbols
The video documents a live experiment in which the hosts upload a second‑year undergraduate quantum mechanics exam into ChatGPT and ask the model to answer as a student would. They then mark the AI‑generated responses using the official solution key,...
The Secret Equation Behind Hyper-Realistic Clothing
The video introduces a novel adaptive‑mesh algorithm that dramatically improves cloth simulation for movies and games, bridging the long‑standing trade‑off between visual fidelity and computational cost. The core insight is an analytical equation that ties a material’s stiffness to the wavelength...
The Future and Risk of Agents
The video examines how developers must decide which class of large‑language model to adopt when moving from experimentation to production. It outlines three categories—proprietary models such as OpenAI’s GPT‑5 or Google’s Gemini, open‑weight models like Meta’s Llama 3.1, Mistral, and Google’s Gemma,...
Multimodal AI Just Leveled Up: Alibaba’s Qwen3 Explained
Alibaba unveiled Qwen3VL, a multimodal AI model that combines text and image embeddings into a unified semantic space, alongside a dedicated re‑ranking engine. The new embedding layer lets the model treat a picture, its caption, and a related paragraph as interchangeable...
When NOT to Use Agents
The video examines the emerging class of agentic AI systems and warns against indiscriminate deployment. Unlike traditional reactive chatbots that wait for a prompt and return a single answer, agentic models can formulate plans, execute multiple actions, and deliver complex...
Claude Code 2.1 (New Upgrades): Are They Copying OpenCode? Teleport, Sub Agents SUPER, Better Skills
The video reviews Anthropic’s Claude Code 2.1 series—versions 2.1.0 through 2.1.3—highlighting a suite of developer‑focused upgrades that reshape how users build, test, and manage AI‑driven tools. The presenter walks through the patch notes, emphasizing that the changes are largely invisible on the screen...
Extract Your "Unspoken Culture" From Meeting Data
The video showcases how Granola’s AI can turn raw meeting recordings into an “unspoken culture handbook,” automatically summarizing how a company actually operates based on conversational data. By feeding months of transcript data into a single prompt, the tool surfaces concrete...
Why AI Makes Things Up
The video explains grounding – the practice of constraining large language model (LLM) responses to information drawn from verifiable external sources – as a core strategy to curb hallucinations. By forcing the model to rely on trusted data rather than...
Building Deep Agents Tutorial With Langchain- Part 1
The video introduces deep agents, a next‑generation AI architecture that moves beyond the simple request‑response loop of traditional, or "shallow," agents. Krish Naik explains that shallow agents rely on a single LLM decision to either generate an answer or call...
Preparing for Appointments | with ChatGPT
The video illustrates how a family leveraged ChatGPT to prepare for a critical oncology appointment concerning their son Tommy’s cancer treatment. By feeding the AI specific concerns, they generated a concise list of questions to ask the surgeon, ensuring that...
A New Course on Retrieval Augmented Generation (RAG) Is Live!
The video announces a brand‑new online course that teaches Retrieval Augmented Generation (RAG), the technique that couples large language models with external knowledge bases to boost enterprise‑grade performance. Instructor Zan Hassani explains that RAG is already powering everyday tools—from AI‑enhanced search...
YouTube Clone with Django & ImageKit | Authentication, Uploads, Streaming & More...
The video walks viewers through building a full‑featured YouTube clone using Python’s Django framework, integrating ImageKit for media optimization, and employing a streaming technique to deliver fast video playback. It begins with a live demo of the finished product—showcasing thumbnail...
LangChain vs LangGraph vs LangFlow vs LangSmith (Explained Simply)
The video demystifies the Lang ecosystem, outlining how LangChain, LangGraph, LangFlow, and LangSmith each occupy a distinct layer in building AI applications. LangChain serves as the foundational library, stitching together prompts, models, tools, and retrievers into reusable workflows for chatbots,...
This Setting Controls Randomness
The video explains how the temperature parameter governs the randomness of token selection in large language models, shaping whether outputs are deterministic or stochastic.\n\nA temperature of zero forces the model to pick the single most probable token, producing identical responses...
OpenAI's New Killer App
The video discusses OpenAI’s emerging health‑focused AI offering, dubbed ChadGPT Health, and a rumored companion device—a pen‑sized gadget that embeds a conversational model for on‑the‑go medical assistance. Leaked reports suggest the pen will clip to a pocket, include camera and audio,...
Creating & Ingesting Your Own Embeddings in Weaviate | Vector Databases for Beginners | Part 7
The video walks viewers through building custom text embeddings with a SentenceTransformers model from HuggingFace and loading them into a Weaviate vector database. The presenter demonstrates the workflow in a Google Colab notebook, pulling a subset of 100 arXiv paper...
Using Grok to Find "Diamonds in the Rough" Talent
The video demonstrates how recruiters can leverage the AI‑driven platform Grok to surface under‑the‑radar social‑media creators who align with niche topics such as Zapier, no‑code, agent building, automation, and music. By issuing a natural‑language prompt—e.g., “find X posters who are fans...
Build Your First App with AI. No Coding Background Required
The video introduces a new online course by Andrew that teaches absolute beginners how to create a functional web application using generative AI. In under 30 minutes, learners describe an idea in plain English and watch the AI produce a...
Understanding Inflammation | with ChatGPT
The video follows a heart‑failure patient who uses ChatGPT to supplement prescribed anti‑inflammatory medication with natural remedies. By feeding the model information about his garden, pantry and favorite eateries, the AI generates a personalized anti‑inflammatory plan, from herb selection to...
From Workflows to Multi-Agent Systems: How to Choose
In this talk Luis Franis, CTO of TORZI, explains how AI engineers decide between workflows, single agents, and multi‑agent systems when building client solutions. He frames AI engineering as a bridge between model development and product integration, emphasizing constraints such...
NVIDIA Just Leaped 5 Years Into the Future at CES 2026
At CES 2026 Nvidia unveiled what it billed as a five‑year leap in artificial‑intelligence technology, showcasing a suite of new hardware, software and networking solutions that together aim to redefine how large‑scale models are trained and deployed. The centerpiece is Reuben,...
Building Agentic AI Workloads – Crash Course
The video provides a crash‑course on agentic AI, tracing the evolution from early AI research to today’s generative‑AI boom and the emergence of autonomous agents. Raali explains that AI rests on three pillars—algorithms, data, compute—and shows how each has exploded: datasets...
I Asked an Uber Tech Recruiter if CS Grads Are Cooked...
The video features an interview with Katie, a former senior technical recruiter at Uber, who provides a candid assessment of the U.S. tech hiring landscape as it heads into 2026. She notes that while the total number of openings has...
Why Most Data Science Projects Fail (And How to Fix the Structure)
The video highlights that most data‑science initiatives crumble because they start as ad‑hoc notebooks on a single laptop, lacking any disciplined project structure. It argues that a reproducible, collaborative, and scalable workflow is not optional but essential for delivering business...
Commonwealth Bank of Australia Builds AI Fluency at Scale
Commonwealth Bank of Australia announced a large‑scale rollout of ChatGPT Enterprise, extending the generative‑AI tool to roughly 50,000 employees across its operations. The move is part of a broader effort to modernise the bank’s digital front‑office and deliver a more...
BNY Sales Uses OpenAI
BNY Sales announced a company‑wide rollout of OpenAI‑powered tools, embedding artificial intelligence across its more than 50,000 employees. The initiative is framed as a way to run the business more efficiently while delivering innovative, data‑driven solutions for financial‑services clients. According to...
BNY Legal Uses OpenAI
BNY Legal announced the deployment of OpenAI‑driven tools to streamline its contract review process, positioning artificial intelligence as a core component of its legal operations. The bank emphasized that, as a highly regulated financial institution, it built the solution atop...
BNY Builds “AI for Everyone, Everywhere” With OpenAI
Bank of New York Mellon (BNY) announced a sweeping AI initiative built on a partnership with OpenAI, branding it as “AI for everyone, everywhere.” The effort centers on the Eliza platform, an innovation accelerator that integrates frontier generative‑AI capabilities into...
How To Explain A Concept Without Dumbing It Down | Joshua Starmer X Data Science Dojo
The video features Joshua Starmer discussing how to explain complex data‑science concepts without "dumbing them down." He emphasizes a constant self‑check: can the idea be presented more simply while staying true to the original algorithm and its intent? This mindset...
Get 15+ Premium Tools For Free or on Discount
The video spotlights how a student identification card can serve as a gateway to more than fifteen high‑value software services typically reserved for professionals. By treating the ID as a promotional credential, students can claim free or heavily discounted access...
How LLMs Think Step by Step & Why AI Reasoning Fails
The video explains how large language models (LLMs) often stumble on multi‑step questions because they attempt to jump straight to a final answer, leading to logical slips and hallucinations. To mitigate this, practitioners employ a prompt‑engineering technique called chain‑of‑thought (CoT),...
How I Became "Radicalized" About AI Disruption
The video chronicles the creator’s transformation from AI skeptic to a self‑described radical, driven by five observations that suggest an imminent, disruptive wave. He argues that insiders at companies like Meta, Nvidia, and OpenAI are privately terrified of AI’s speed,...
Zapier's CEO Shares His Personal AI Stack | Wade Foster
Wade Foster, co‑founder and CEO of Zapier, joins the How I AI podcast to walk through his personal AI stack and demonstrate how the company embeds artificial intelligence into everyday workflows. He argues that leadership must go beyond memos about...
Lee Cronin "Sam Altman Is Delusional, Hinton Needs Therapy, P(Doom) Is Nonsense"
Lee Cronin opens the discussion by dismissing popular AI‑doom narratives, arguing that artificial systems lack genuine agency and therefore cannot autonomously seize control of physical infrastructure. He frames the debate in terms of chemistry’s role in generating complexity, suggesting that...
The Easiest Way to Improve Prompts
The video explains two foundational prompting strategies—zero-shot and few-shot learning—used to shape large language model outputs. Zero-shot prompting presents a plain instruction without any exemplars, trusting the model’s pre‑trained knowledge to generate an answer, such as asking a general‑purpose assistant...
This Is How Much AI Can Remember
The video explains that a language model’s ability to remember is bounded by its context window – the maximum number of tokens it can see at once. The window comprises the system prompt, the full dialogue history, and any tokens the...
All About AI In 2026 - What Now?
The creator announces a strategic pivot for 2026, shifting the channel from general AI commentary to a hands‑on showcase of AI‑driven micro‑businesses, major model releases, and workflow tutorials. The new format promises weekly deep‑dive videos that break down revenue streams,...
Your Prompts Aren’t the Problem—Your Context Is
The video argues that the real bottleneck in AI assistants isn’t how you phrase a question but what information the model actually sees when it generates a reply. While traditional prompt engineering tweaks wording to coax better answers, "context engineering"...
Why Prompts Actually Work
The video breaks down why prompts work, defining a prompt as the full set of instructions and context sent to an LLM. It distinguishes two parts: a system prompt that establishes the model’s role and constraints, and a user prompt...
RLHF Explained Simply
RLHF, or reinforcement learning from human feedback, is the technique powering modern large‑language‑model alignment. Rather than relying solely on static text corpora, developers augment training with human‑generated preference data, teaching models what constitutes a helpful, safe response. The workflow begins with...
