AI/ML Resources

Step-By-Step Guide To Setting up and Training GANs for Image Generation

Learn to set up and train Generative Adversarial Networks (GANs) using TensorFlow and PyTorch for image generation and manipulation.

July 23, 2024

by Neha Dhaliwal

· 4,464 Views · 2 Likes

Cross-Platform Integration: Enabling Seamless Workflow Between AI, Microservices, and Azure Cloud

Cross-platform integration of AI, microservices, and Azure Cloud is essential for businesses looking for innovative IT solutions.

July 23, 2024

by Nilesh Charankar

· 6,986 Views · 3 Likes

Build End-To-End RAG Applications Using Airbyte and Snowflake Cortex

In this article, create a dedicated vector store directly within Snowflake — with no coding required — as the basis for AI applications.

July 23, 2024

by John Lafleur

· 2,704 Views · 1 Like

AI vs. Human: Who Detects Bugs Better?

AI-powered bug detection is changing the game by making software testing faster and more accurate. It helps find bugs early, improving product quality and cutting costs.

July 23, 2024

by Abhishek Mishra

· 5,189 Views · 2 Likes

Security Challenges in AI-Powered Applications

In this article, we're diving deep into these risks, looking at real-world examples, and discussing practical ways to protect these AI-driven solutions.

July 23, 2024

by Mayank Singhi

· 4,447 Views · 2 Likes

Task-Specific Large Language Models Using Distillation

Reducing LLM costs through distillation is an effective method for achieving cost-quality trade-offs for task-specific LLMs.

July 22, 2024

by Vikram Rao Sudarshan

· 4,562 Views · 1 Like

Use Guardrails To Prevent Hallucinations in Generative AI Applications

With a Contextual grounding check, you can prevent hallucinations by detecting irrelevant and ungrounded LLM responses. Learn more!

July 22, 2024

by Abhishek Gupta

CORE

· 8,130 Views · 3 Likes

The Foundation of AI and Analytics Success: Why Architecture Matters

Architecture drives AI and analytics success. Learn about key business drivers, engineering best practices, and innovative solutions from industry experts.

July 22, 2024

by Tom Smith

CORE

· 3,685 Views · 1 Like

Improving the Capabilities of LLM-Based Analytics Copilots With Semantic Search and Fine-Tuning

Learn how LLMs can be deployed to make critical decisions like domain-specific question-answering, SQL generation needed for data retrieval, and more.

July 22, 2024

by Meghana Puvvadi

· 3,265 Views · 4 Likes

Topic Tagging Using Large Language Models

Explore various techniques for organizing large amounts of content into topics using Large Language Models.

July 19, 2024

by Vikram Rao Sudarshan

· 5,274 Views · 1 Like

The Future of AI Art: Exploring the Capabilities of Stable Diffusion Web UI (Automatic 1111)

Automatic 1111's web UI for Stable Diffusion simplifies AI Image Generation: text-to-image, sketch-to-image, model training, and API integration detailed.

July 18, 2024

by Tharakarama Reddy Yernapalli Sreenivasulu

· 5,598 Views · 7 Likes

A Comprehensive Guide to MLflow for Machine Learning Lifecycle Management

Master MLflow from basics to advanced with practical examples and an end-to-end project for managing ML lifecycles using this comprehensive guide.

July 17, 2024

by Harsh Daiya

CORE

· 5,290 Views · 1 Like

Agentic AI 101: Understanding Artificial Intelligence Agents

What is agentic AI and how do these autonomous systems improve productivity, facilitate smarter decisions, and at the end of the day revolutionize industries?

July 17, 2024

by Frederic Jacquet

CORE

· 8,792 Views · 5 Likes

Why the Newest LLMs Use a MoE (Mixture of Experts) Architecture

Learn about the Mixture of Experts (MoE) architecture, defined as a mix or blend of different "expert" models working together to complete a specific problem.

July 17, 2024

by Kevin Vu

· 6,549 Views · 3 Likes