Blog - Ai7

The Role of Data Annotation in Training AI for Early Disease Detection

November 19, 2024 6 min read By Cogito Tech. 27 views The advancement of AI in recent years is transformative in many respects, including one which holds much promise for the delivery of important health benefits: the healthcare sector. In such a scenario early disease detection is potentially an area where AI is likely to … Read more

HelloYou unveils Skanna, a barcode scanner with a twist

For many consumers, deciphering the truth about products feels like solving a riddle. Complex ingredient lists, vague claims, and limited transparency make it nearly impossible to know what you’re really buying—or how it aligns with your health, safety, and values. This growing demand for clarity has inspired HelloYou, a developer known for creating apps that … Read more

The Ultimate Guide to Bulletproof Security Testing

Hey, security enthusiasts!👋 In today’s connected world, security testing is more important than ever. Whether you’re safeguarding a small website or a large corporate network, security testing ensures that systems are safe from threats, protecting sensitive information from hackers and malicious attacks. This guide explores the fundamentals of security testing, including why it’s essential and … Read more

How AI is Transforming Recruiting for a Better Future

Let’s face it—hiring today is more complex and competitive than ever. Recruiters aren’t just tasked with filling roles; they’re expected to do so quickly, efficiently, and inclusively, all while delivering exceptional candidate experiences. Traditional methods often fall short, leaving recruiters struggling to manage high volumes of applications and identify the right talent.

Data Machina #247 – Data Machina

The New Breed of Open Mixture-of-Experts (MoE) Models. In a push to beat the closed-box AI models from the AI Titans, many startups and research orgs have embarked in releasing open MoE-based models. These new breed of MoE-based models introduce many clever architectural tricks, and seek to balance training cost efficiency, output quality, inference performance … Read more

Top Ways Students Can Use an AI Chatbot for Smarter Study Sessions

Introduction Education is evolving, and with the rise of Artificial Intelligence (AI), students are discovering innovative tools to make their study sessions smarter and more effective. Among these tools, Yatter, an advanced AI chatbot, stands out as a versatile assistant. Whether it’s simplifying lengthy content, conducting research, or solving homework problems, Yatter helps students stay … Read more

“Stanford kartlägger världens AI-utveckling i unikt rankingverktyg

Stanford Institute for Human-Centered AI har lanserat ett nytt verktyg, Global AI Vibrancy Tool, som rankar 36 länders AI-utveckling baserat på 42 indikatorer inom områden som forskning, ekonomi och politik. Verktyget avslöjar att USA leder AI-utvecklingen globalt, följt av Kina och Storbritannien, och ger värdefulla insikter för beslutsfattare, företagsledare och allmänheten om den snabbt föränderliga … Read more

Clarifai 10.10: Compute Orchestration [Private-Preview]

This blog post focuses on new features and improvements. For a comprehensive list, including bug fixes, please see the release notes. Compute Orchestration [Private Preview] Clarifai’s new Compute Orchestration system provides you with an efficient way to deploy inference workloads on any compute, in any bare metal, or cloud environment. This feature is currently in Private Preview. … Read more

Marek Rosa – dev blog: AI People: Update 0.2.0a

Our second content addition update named “The Sitting Pretty Update” comes to AI People server on October 24, 2024. This Update brings brand new interaction feature, a plethora of new characters to the game, and several other features and changes. New Characters We made plenty of changes to the list of playable characters in the … Read more

Unbundling the Graph in GraphRAG – O’Reilly

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. The haphazard results may be entertaining, although not quite based in fact. RAG provides a way … Read more

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