AI/ML Resources

Exploring the Evolution of Transformers: From Basic To Advanced Architectures

This blog traces the evolution of Transformers from the original model to advanced architectures, highlighting significant advancements.

July 25, 2024

by Suri Nuthalapati

CORE

· 21,348 Views · 3 Likes

Impact of Generative AI in the Cellular and IoT Telecommunication

The telecommunications industry is on the brink of a transformative shift with the integration of Generative AI (Gen AI).

July 25, 2024

by BINU SUDHAKARAN PILLAI

· 2,047 Views · 1 Like

Optimizing Search Precision With Self-Querying Retrieval (SQR) and Langchain

This tutorial describes the merits of SQR and how to use it with the Langchain library to improve retrieval precision and relevance within a RAG framework.

July 25, 2024

by Intiaz Shaik

· 4,804 Views · 2 Likes

Use Guardrails for Safeguarding Generative AI Applications Built Using Custom or Third-Party Models

Learn how the ApplyGuardrail API can provide a flexible way to integrate Guardrails with your generative AI applications.

July 24, 2024

by Abhishek Gupta

CORE

· 2,914 Views · 1 Like

Democratizing Data With Graph RAG: What It Is, What It Can Do, How To Evaluate It

Graph RAG leverages the structured nature of knowledge graphs to organize data as nodes and relationships, enabling retrieval of relevant information.

July 24, 2024

by George Anadiotis

· 2,852 Views · 1 Like

ChaosMeta for AI: Taking AI Stability to the Next Level With Chaos Engineering

Chaos engineering is about proactively exposing and addressing system vulnerabilities, greatly enhancing system resilience.

July 24, 2024

by Gerald Boersma

· 2,739 Views · 1 Like

Consistency vs Availability: The Eternal Struggle in Distributed Databases

Since the CAP theorem dictates that systems can only guarantee two of the three properties, this article provides strategies to manage the trade-offs.

July 24, 2024

by Ajinkya Ghadge

· 4,102 Views · 9 Likes

History and Future of LLMs

LLMs are marvels of modern technology, complex in their function, massive in size, and enable groundbreaking advancements. Explore their history and future.

July 23, 2024

by Kevin Vu

· 4,734 Views · 1 Like

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

· 3,290 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

· 5,127 Views · 2 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

· 2,388 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

· 3,030 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

· 3,608 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

· 2,974 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

· 6,768 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

· 2,800 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 sai arava

· 2,408 Views · 2 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

· 3,625 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

· 4,116 Views · 6 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

· 3,865 Views · 1 Like

The Latest AI/ML Topics