Inside the Atlas Reasoning Engine: Salesforce's Brain for Enterprise AI Agents
Salesforce’s new Atlas Reasoning Engine powers Agentforce with advanced "System 2" thinking—bringing analytical reasoning, not just responses, to enterprise automation.
AI Under the Hood
Peek Behind the Curtains of AI Technology with NadiAI Hub: For tech enthusiasts and engineers, this category dives into the technical details of AI. Learn about model architectures, algorithm optimization, and performance tuning. Perfect for those who want to understand how AI systems work at a deeper level.
Latest
Model Context Protocol (MCP): What It Is, Why It Matters, and How to Implement It
The Model Context Protocol (MCP) bridges AI models with real-world data and tools, unlocking new possibilities for interactive and up-to-date AI systems.
OpenAI's Responses API: A Step Towards More Autonomous AI Agents
OpenAI's new Responses API, launched on March 11, 2025, streamlines AI agent development by consolidating key functionalities—making AI integration more efficient for developers.
Manus AI: The Game-Changer in Autonomous Intelligence or Just Another Hype?
Launched by Monica AI, Manus AI promises autonomous task execution, rivaling OpenAI and DeepMind. Is it a true revolution or just hype?
AI Distillation: Making Advanced AI More Accessible and Efficient
AI distillation condenses powerful models into smaller, efficient versions—retaining intelligence while improving speed and accessibility. Explore how this breakthrough is shaping the future on NadiAI Hub.
Comparative Analysis of LLM Business Reasoning: A Real-World Sales Resource Allocation Case Study
Explore how top LLMs—Qwen2.5-Max, DeepSeek R1, and GPT-01—tackle real-world sales optimization challenges. This case study breaks down their reasoning strengths and business impact. Read more on NadiAI Hub.
DeepSeek-V3: Advancing Open-Source AI with Mixture-of-Experts and Efficient Training
DeepSeek-V3 is an open-source AI model that balances performance and cost, rivaling top closed-source models.
LoRA: Making Large Language Models Adaptable Without the Heavy Lifting
Embeddings power intelligent retrieval in RAG, capturing meaning beyond keywords for precise results. Here's how they work.
DSPy: A New Programming Model for Building AI Systems with Language Models
DSPy streamlines AI application development by replacing traditional "prompt engineering" with a systematic, modular framework.
