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Gemini Can Now Create “Presentations” with One Prompt!
This review explores Gemini's new presentation feature to generate slides from prompts and documents, comparing with its contemporaries.
Vasu Deo Sankrityayan 06 Nov, 2025
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How to Build a Smart AI Voice Assistant with Vapi: A Step-by-Step Tutorial
Learn to build an AI voice assistant with Vapi, for human-like phone conversations. This tutorial covers its configuration and hands-on.
Soumil Jain 06 Nov, 2025
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Evaluating LLMs with LangSmith: A Comprehensive Guide
Master LLM evaluation with LangSmith. This guide covers tracing and interpreting results for robust LangChain application development.
Harsh Mishra 01 Nov, 2025
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AI Agents vs LLMs vs RAG
Understand the fundamental differences and synergistic relationship between LLMs, RAG and AI Agents. Also, how the are used in synergy.
Janvi Kumari 31 Oct, 2025
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What is gpt-oss-safeguard? OpenAI’s Policy-Driven Safety Model
Explore gpt-oss-safeguard, OpenAI's specialized safety classification model. Learn how it uses policies to provide transparent reasoning.
Vasu Deo Sankrityayan 26 Nov, 2025
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Grokipedia vs Wikipedia: Elon Musk’s AI Encyclopedia is Here!
Explore Grokipedia, Elon Musk's AI-powered encyclopedia by xAI, designed to challenge Wikipedia's bias. Get familiar with it in this article.
Vasu Deo Sankrityayan 30 Oct, 2025
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MiniMax-M2: Better Than GLM 4.6 (Compact & High-Efficiency AI Model)
Discover MiniMax M2, the efficient LLM by MiniMax AI. Optimized for coding it offers high performance with selective parameter activation.
Vasu Deo Sankrityayan 06 Nov, 2025
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Claude Haiku 4.5 is Here… and it’s BETTER than Sonnet 4.5?
Anthropic's Claude Haiku 4.5 is the fastest, safest small model yet. It delivers near-Sonnet 4 codi performance at one-third the cost.
Aayush Tyagi 26 Nov, 2025
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Guardrails in LLMs: Building Reliable AI Systems with Guardrails
Strong guardrails are the pillars of dependable LLM. Here is how guardrails ensure an AI's behavior is safe, ethical, and consistent
Badrinarayan M 24 Oct, 2025
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Poisoning Attacks on LLMs: A Direct Attack on LLMs with Less than 250 Samples
New research shows data poisoning in LLMs is easier than thought: only 250 malicious documents create a backdoor regardless of model size.
Shaik Hamzah 26 Nov, 2025
