AI/ML Resources

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

· 6,981 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

· 8,723 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

· 3,440 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

· 4,873 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

· 6,157 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

· 6,653 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

· 3,322 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

· 4,453 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

· 5,005 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

· 3,411 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

· 4,212 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

· 4,020 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

· 5,419 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

· 5,356 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

· 4,437 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

· 5,936 Views · 1 Like

Better Search Results Through Intelligent Chunking and Metadata Integration

Chunking is an important, but underrated, aspect of LLM-based content retrieval, and effective management of It will yield world-class results.

August 26, 2024

by Pavan Vemuri

CORE

· 6,134 Views · 8 Likes

Efficient and Fault-Tolerant Solutions for Distributed Mutual Exclusion

Explore the tree quorum algorithm for mutual exclusion in distributed systems, its reduced communication overhead, fault tolerance, and more.

August 26, 2024

by Nakul Pandey

· 4,674 Views · 2 Likes

Securing the Future: Defending LLM-Based Applications in the Age of AI

Explore research on LLM-based application vulnerabilities and learn how to implement the OWASP Top 10 framework for enhanced AI security.

August 26, 2024

by Tom Smith

CORE

· 3,647 Views · 4 Likes

Architectural Patterns for Enterprise Generative AI Apps: DSFT, RAG, RAFT, and GraphRAG

Explore the architectural patterns available to build GenAI solutions plus enterprise-level strategies to choose the right framework for the right use case.

August 23, 2024

by Suvoraj Biswas

· 7,187 Views · 2 Likes

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