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Mistral vs. Llama

Compare Mistral and LLaMA to find the best fit for your AI needs. Discover which model excels in cost-efficiency, real-time inference, multilingual NLP, and enterprise-scale customization.
Asmat Batool
Apr 22 · 2025
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RAG evaluation with Ragas

Learn how to evaluate a RAG system using the Ragas library.
Asmat Batool
Apr 21 · 2025
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Does Apple use OpenAI?

Does Apple directly integrate OpenAI models like ChatGPT into its platforms? There are subtle yet meaningful ways OpenAI's advancements have shaped Apple's AI direction. In this blog, we explore how Apple interacts with the broader AI ecosystem and where OpenAI fits in.
Zarish Khalid
Apr 10 · 2025
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What are Amazon Bedrock Knowledge Bases?

This blog post provides an overview of knowledge bases in AWS, exploring how Retrieval Augmented Generation (RAG) delivers context-aware LLM responses, how Bedrock agents automate decision-making using your data, and how Amazon Guardrails ensure the outputs are both relevant and grounded.
Hunain Tahir
Mar 18 · 2025
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Vector search on knowledge graph in Neo4j

Learn how to generate embeddings for entities in a knowledge graph, build a vector index using node embeddings, and perform vector searches on the knowledge graph.
Asmat Batool
Feb 20 · 2025
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Top 20 Google DeepMind interview questions

Ace your Google DeepMind interview! Get insights on key stages, top AI/ML questions, and expert prep tips to land your dream role in cutting-edge AI research.
Adeel Qayyum
Feb 13 · 2025
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Gen AI interview questions: What recruiters are looking for

The blog covers a Generative AI skills roadmap guiding learners from novice to expert, covering essential knowledge and practical experience. The blog includes insights into Google’s and Meta’s interview processes, strategies to stand out, and Gen AI interview questions based on real-world AI challenges. Finally, it outlines the next steps to help aspiring professionals break into top AI roles.
Kamran Lodhi
Jan 29 · 2025
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Unveiling the LangChain Suite

In this blog, we dive into how LangChain, LangSmith, and LangGraph can turn that chaos into harmony. Imagine building AI applications as effortlessly as snapping together LEGO blocks—that's what LangChain offers with its interoperable components. LangSmith steps in as your seasoned mechanic, helping you test, debug, and fine-tune your AI models for peak performance. And when it comes to orchestrating multiple AI agents without losing your mind, LangGraph is your go-to conductor, ensuring everything runs in perfect harmony. Whether you're a beginner or an expert, these tools not only simplify AI development but also make it downright enjoyable.
Usama Ahmed
Jan 29 · 2025
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Top AI coding copilots: Why Codeium is the best choice?

This blog explores how AI coding copilots assist developers, compares popular options like GitHub Copilot, Tabnine, and Replit, and explains why Codeium is the best choice. With fast, accurate code suggestions, multi-language support, and easy integration, Codeium enhances coding productivity. The blog also includes a setup guide of Codeium and usage examples to help developers maximize their efficiency with AI-powered tools.
lfrah Dar
Jan 28 · 2025