Alireza Dehbozorgi’s Post

Rapid exciting advancement continues! Do we have the necessary quality data to truly flex the AI/ML muscle in what we do? As everyone in the field learning how to flex this AI/ML muscle, would we likely run into investment lags in foundational basic research that serves as knowledge anchors to understand life? Do we have the "right" balance? Perhaps a topic for robust discussion.

Social media platforms have revolutionized communication, fostering global connections and cultural exchanges. However, language barriers can hinder effective interaction. Neural Machine Translation (NMT) offers a promising solution to bridge this gap, enabling seamless communication across diverse languages. This article explores the potential applications of NMT in social media, highlighting its benefits and challenges.

Ever wondered how the next generation of AI agents will make decisions, learn, and interact with the world more intelligently? 🤖💡 The paper "Cognitive Architectures for Language Agents" introduces CoALA, a groundbreaking framework that combines the reasoning power of Large Language Models (LLMs) with structured cognitive processes inspired by cognitive science. CoALA positions LLMs at the core of modular systems, enabling language agents to: 🧠 Manage memory (working, episodic, semantic, procedural). 🔄 Plan and execute actions in structured loops. 🌐 Interact with complex environments, from robotics to digital simulations. What’s exciting is how this framework draws from decades of AI research to organize and enhance modern language agents, setting the stage for more adaptable, general-purpose intelligence. The future of AI agents isn’t just about solving tasks, it’s about building systems that think, learn, and grow like humans. This paper offers both a theoretical foundation and actionable insights to design smarter agents. Read more here: https://lnkd.in/egWj5RCf #ArtificialIntelligence #LanguageModels #CognitiveScience #MachineLearning #Innovation #AIResearch #LLMs #TechForGood #AIAgents #AgenticAI #AgenticAgents #AgenticWorkflows

Hello Everyone! 👋 I'm thrilled to share my latest blog post on "Language Modeling and Its Applications" based on my internship project at Innomatics Research Labs. 🤖 In this blog, I explore: What is Language Modeling? Applications of Language Modeling in NLP Steps to Model a Language 🔗 Dive deeper into the world of language modeling and its significance in NLP by reading my blog post. #genai #languagemodelling #llms #ai #nlp

This article will brief about the mathematical intuition behind LoRA and QLoRA #llm #genai #finetuning #lora #ai

As someone who uses AI tools it's important to understand and know about the data behind the scenes. Check out this sneak peek of our episode with Afiba Annor where she discusses what the future of AI could look like!

How can we train neural networks to capture the relationship between an observation and the location of an observer? One route is to transform spatial and visual tasks into language modeling problems.

Can the behavior of AI inform us about humans? New paper adds to the debate by examining how LLM search behaviors and decisions, by Daniel Albert, Stephan Billinger

Dive into the world of generative AI with our webinar, "Beginner’s Guide to #GenAI: #LLMs, #RAG, and more. https://lnkd.in/eM2YNCuP