Build Wiz AI Show

Welcome to this episode where we'll dive into the revolutionary impact of AI agents across industries, exploring how they are automating tasks, enhancing customer experiences, and driving significant business growth . From sales and marketing to finance and healthcare, discover the tangible benefits and real-world applications of these digital teammates that are reshaping the future of work.

Welcome to the show where we delve into the world of AI agents , exploring how these digital tools are streamlining operations and enhancing customer experiences. We'll discuss the booming market and the diverse landscape of open-source frameworks and user-friendly platforms available for building your own intelligent assistants. Join us to understand the best practices for deploying AI agents...

Welcome to this week's episode where we dive into the fascinating and critical intersection of Large Language Models (LLMs) and cybersecurity , exploring how these powerful AI tools are being leveraged on both sides of the digital battlefield. We'll uncover how LLMs are enhancing vulnerability detection and threat analysis while also examining the emerging risks of LLM-powered social engin...

Welcome to the show where we delve into the exciting world of operationalizing Generative AI on Vertex AI using MLOps , exploring how traditional machine learning operations are adapting to the novel challenges and opportunities presented by foundation models. Discover how Vertex AI provides a comprehensive platform with tools for every stage of the Gen AI lifecycle, from model discovery to deploy...

Welcome to this episode where we delve into the fascinating world of domain-specific Large Language Models , exploring how they're revolutionizing fields like cybersecurity with SecLM and healthcare with MedLM . Discover the unique challenges these domains present and how fine-tuned LLMs are being developed to overcome them, offering enhanced performance for specialized tasks. Join us to under...

Get ready to explore the world of vibe coding , a new approach to software development where AI takes the lead! This episode dives deep into the tools you can use, from AI-powered code editors like Windsurf and extensions for VS Code to online platforms and even built-in AI canvases . Learn about the best practices for planning your projects, the crucial role of version control with Git and GitHub...

Welcome to this episode where we delve into the transformative world of generative AI agents , exploring their architecture, evaluation, and the shift towards sophisticated multi-agent systems. We'll uncover how these intelligent agents are being operationalized with Agent Ops principles and implemented in enterprise solutions like Google Agentspace, moving towards a future where agents act as...

In our latest podcast episode, we explore the world of Generative AI Agents , intelligent applications that go beyond standard models by using reasoning, logic, and tools to interact with the real world and achieve goals. We delve into their cognitive architecture , including the role of the central model, the external tools like Extensions, Functions, and Data Stores , and the crucial orchestrati...

This whitepaper explores embeddings , which are numerical representations of various data types like text and images, and vector stores , which are specialized databases for efficiently managing and searching these embeddings. Embeddings capture the semantic meaning of data, allowing for similarity searches and powering applications that go beyond exact keyword matching. By using vector search alg...

"Prompt Engineering,"  authored by Lee Boonstra in September 2024, offers a comprehensive guide to crafting effective prompts for large language models. It begins by  introducing the fundamentals of prompt engineering  and the importance of model configuration. The paper then  explores various prompting techniques , including zero-shot, few-shot, system, role, contextual, step-back, and...

This whitepaper provides a comprehensive overview of foundational large language models (LLMs) and text generation.  It traces the  evolution of transformer architectures , detailing key models from GPT-1 to Gemini and open-source alternatives. The authors explain  training and fine-tuning methodologies , including supervised learning and reinforcement learning from human feedback, as well as  par...

Anthropic's report, the second from their Anthropic Economic Index , analyzes usage patterns of their updated Claude 3.7 Sonnet AI model following its launch. The study observed an increased share of usage in areas like coding, education, and science, with the model's "extended thinking" mode favored for technical tasks . Furthermore, the report examines augmentation versus automation in AI intera...

Qwen2.5-Omni is a unified end-to-end multimodal model capable of perceiving text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner. It utilizes a Thinker-Talker architecture where Thinker handles text generation and Talker produces streaming speech tokens based on Thinker's representations. To synchronize video and audio, Qwen2.5...

KGCompass is a novel approach for enhancing repository-level software repair by utilizing a repository-aware knowledge graph . This knowledge graph effectively connects repository artifacts like issues and pull requests with codebase entities such as files, classes, and functions. By leveraging this unified representation, KGCompass can accurately narrow down the search space for bug locations and...

How developers can create Markdown files, such as .github/copilot-instructions.md, to provide Copilot with specific context about their projects, coding styles, and preferences, leading to  more relevant and accurate AI assistance . The post also covers how to  customize other Copilot features  like commit message generation through workspace settings and introduces  "prompt files"  for...

Welcome to our podcast on the groundbreaking impact of Large Language Models (LLMs) on knowledge work ! We delve into a recent study surveying knowledge workers to uncover how they are currently using LLMs for tasks like content generation and information retrieval . Join us as we explore their visions for the future, including the integration of LLMs into their workflows for automation and enhanc...

We explore Chain-of-Tools (CoTools) , a groundbreaking tool learning method for frozen Large Language Models (LLMs) . CoTools enables these models to effectively utilize a massive pool of tools, even those they haven't seen before , during Chain-of-Thought (CoT) reasoning. We delve into how CoTools leverages the semantic representation capabilities of LLMs to determine when and which tools to...

While newer models like Claude 3.7 Sonnet is already available, our latest podcast episode delves into the still-valuable insights from Claude 3.5 Sonnet 's performance on the challenging SWE-bench Verified benchmark, where it achieved an impressive 49% , surpassing the previous state-of-the-art. Tune in to understand why this result remains significant in the evolution of AI software engineer...

This podcast episode delves into the "Transformers without Normalization" paper, which introduces Dynamic Tanh (DyT) as a potential replacement for normalization layers in Transformers. DyT , a simple operation defined as tanh(αx) with a learnable parameter, aims to replicate the effects of Layer Norm without calculating activation statistics. Could DyT offer similar or better performanc...

In this podcast episode, we delve into Fin-R1 , a groundbreaking large language model tailored for financial reasoning . Discover how this efficient 7 billion parameter model tackles critical financial industry challenges such as fragmented data, uncontrollable reasoning logic, and weak business generalization ability . We explore its innovative two-stage training framework, which includes the cre...

The " think " tool provides Claude with a dedicated space for structured thinking during complex tasks, allowing it to pause and reflect, especially when processing tool outputs. This leads to significant improvements in Claude's ability to follow policies, make consistent decisions, and handle multi-step problems. Evaluations on τ-Bench showed dramatic performance gains in airline a...

This podcast episode dives into AI for application developers , inspired by Steve Sanderson's keynote . It journeys from early concepts like the Turing Test and Eliza to the power of modern Large Language Models (LLMs) . Discover how AI is used beyond chat for tasks like data extraction and image analysis . The episode also explores future possibilities with AI Agents and immediate application...

Several key concepts and techniques essential for working with large language models (LLMs). It begins by explaining  sampling , the probabilistic method for generating diverse text, and contrasts it with  fine-tuning , which adapts pre-trained models for specific tasks. The text then discusses  sharding , a method for distributing large models, and the role of a  tokenizer  in preparing text for...

Jensen Huang's GTC March 2025 keynote showcases  NVIDIA's advancements in AI and accelerated computing . Huang introduces their next-generation Blackwell architecture, emphasizing its significant performance leap for AI workloads, particularly reasoning and inference, within  newly envisioned "AI factories."  He details a multi-year hardware roadmap, including Blackwell Ultra and...

This video from IBM Technology explains  Agentic Retrieval Augmented Generation (RAG)  as an advancement of the standard RAG pipeline.  Traditional RAG  enhances LLM responses by retrieving relevant data from a vector database and using it as context.  Agentic RAG  expands on this by employing the LLM as an agent capable of making decisions, such as selecting the most appropriate data source from...