AI/ML Resources

The AI Security Gap: Protecting Systems in the Age of Generative AI

As GenAI adoption surges, organizations face new security risks. Learn to protect your AI systems from prompt hacking and other emerging threats.

September 5, 2024

by Tom Smith

CORE

· 5,595 Views · 1 Like

Supercharging IaC With AI for Next-Gen Infrastructure Efficiency

This article explores some important areas where AI is reshaping IaC operations and discusses what the future may hold.

September 4, 2024

by Omry Hay

· 7,318 Views · 2 Likes

MLOps: How to Build a Toolkit to Boost AI Project Performance

AI projects could end up among the 90% that fail due to common implementation pitfalls. Here, learn how to change the game with the right MLOps tools.

September 3, 2024

by Alexander Simonov

· 7,324 Views · 4 Likes

Bridging the Gap: How Developers and Security Professionals Can Collaborate for Better Cybersecurity

Experts at Black Hat 2024 reveal how developers and security pros can collaborate better: from shifting left to embracing AI and prioritizing user experience.

September 3, 2024

by Tom Smith

CORE

· 5,306 Views · 1 Like

Confusion Matrix vs. ROC Curve: When to Use Which for Model Evaluation

The Confusion Matrix and the ROC Curve evaluate model performance in machine learning and data science. Compare and learn when to use each in model evaluation.

September 3, 2024

by Fizza Jatniwala

· 7,130 Views · 1 Like

From Zero to AI Hero, Part 1: Jumpstart Your Journey With Semantic Kernel

Follow the steps outlined in this multi-part series to start with Semantic Kernel and integrate intelligent, context-aware functionalities into your projects.

September 3, 2024

by Aneesh Gopalakrishnan

· 8,815 Views · 9 Likes

Building Product to Learn AI, Part 3: Taste Testing and Evaluating

Before our AI meal planner is complete, one crucial step remains: a taste test. This is where a robust evaluation framework becomes your most valuable tool.

September 2, 2024

by Indrajit Bhattacharya

· 3,468 Views · 2 Likes

Day in the Life of a Developer With Google's Gemini Code Assist: Part 2

Conclude the review of Google Gemini Code Assist-enabled development in VS Studio Code and its impact on deployment and operations.

August 30, 2024

by Aakash Sharma

· 4,918 Views · 1 Like

High Fidelity Data: Balancing Privacy and Usage

Explore High Fidelity (HiFi) Data features such as visual, population, statistical, and ownership integrity, and its use to balance privacy and usability.

August 29, 2024

by Zilong Tang

· 6,184 Views · 4 Likes

Utilizing Multiple Vectors and Advanced Search Data Model Design for City Data

Learn how to build, architect, and design complex unstructured data applications for vector databases utilizing Milvus, GenAI, LangChain, YoLo, and more.

August 29, 2024

by Tim Spann

CORE

· 6,711 Views · 4 Likes

The Ultimate Guide to Evaluate RAG System Components: What You Need to Know

The RAG system contains two core components: the retriever and the generator. This article introduces how to evaluate these two components.

August 29, 2024

by Usama Jamil

· 3,351 Views · 4 Likes

Advanced Techniques in Automated Threat Detection

Explore advanced automated threat detection using AI and machine learning to combat evolving cyber threats, streamline security, and enhance protection.

August 28, 2024

by Anastasios Arampatzis

· 4,674 Views · 1 Like

The Evolution of Conversational AI: Blending Determinism With Dynamism

Learn how the future of conversational AI lies in the seamless integration of deterministic workflows and dynamic, creative responses.

August 28, 2024

by Xavier Portilla Edo

CORE

· 5,035 Views · 2 Likes

Enhancing Accuracy in AI-Driven Mobile Applications: Tackling Hallucinations in Large Language Models

LLMs often hallucinate, leading to inaccurate responses. Contextualization and integrating knowledge bases can significantly reduce these errors.

August 27, 2024

by Nakul Pandey

· 3,467 Views · 1 Like

Building a Powerful AI and Machine Learning Pipeline: Best Practices and Tools

Explore best practices and steps for constructing a robust AI/ML pipeline, from data collection and processing to model deployment and monitoring.

August 27, 2024

by Kishorebabu Tenneti

· 4,231 Views · 2 Likes

LangChain Language Correctness Detector

Learn how to detect grammatical errors, sentiment, and aggressiveness in text using Langchain and OpenAI or Google Cloud language models.

August 27, 2024

by Xavier Portilla Edo

CORE

· 4,048 Views · 1 Like

Beyond the Obvious: Uncovering the Hidden Challenges in Cybersecurity

Explore often-overlooked cybersecurity challenges, from the human element to AI risks, as revealed by industry experts at Black Hat 2024.

August 27, 2024

by Tom Smith

CORE

· 5,457 Views · 1 Like

Maximizing Enterprise Data: Unleashing the Productive Power of AI With the Right Approach

Learn how organizations can unlock the full potential of their AI initiatives by considering critical elements such as infrastructure, cost, and more.

August 26, 2024

by Pan Singh Dhoni

· 5,391 Views · 1 Like

Anomaly Detection: The Dark Horse of Fraud Detection

Anomaly detection, though less accurate, is a valuable tool for identifying unknown fraud patterns that the supervised models are not trained to detect.

August 26, 2024

by Sumit Makashir

· 4,465 Views · 2 Likes

Multi-Agent System’s Architecture

Multi-agent systems distribute decision-making across multiple agents, improving output through diverse perspectives and reducing bias.

August 26, 2024

by Mohammed Talib

· 5,986 Views · 1 Like

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