Prem Cortex: AI That Remembers Like a Human Most AI agents forget too quickly, creating digital amnesia. Prem Cortex changes that with human-like memory, letting agents organise, connect, and recall context naturally.
Chatbots vs AI Agents – Which is Right for Your Business? Customer support has evolved from simple chatbots to AI agents that manage context, automate tasks, and assist in real time. This blog compares chatbots, LLM chatbots, and AI agents to help businesses choose the right solution for smarter, scalable support with PremAI
Enterprise AI Trends for 2025: What's Next for Businesses? In 2025, enterprises will accelerate Edge AI adoption, leverage multimodal AI for enhanced analytics, and implement Multi-Agent Systems for efficient automation, emphasizing sustainability, governance, explainability, and workforce readiness in AI deployment strategies.
Open Source Agentic Frameworks: LangGraph vs CrewAI & More Open-source agentic frameworks like LangGraph, SmolAgents, CrewAI, PhiData, and Composio enable multi-agent AI systems with scalable, modular architectures. Key features include graph-based workflows, retrieval-augmented generation, hierarchical planning, and collaborative task allocation.
Fine-Tuning & Small Language Models The era of GPT-4's dominance is ending as diverse, specialized language models take the stage. Companies now favor both open-source and proprietary models tailored to specific tasks, moving away from one-size-fits-all solutions. Small Language Models (SLMs) offer efficiency for niche needs.
Transformer Inference: Techniques for Faster AI Models Transformer inference powers tasks in NLP and vision, but is computationally intense, requiring optimizations. Large models like GPT-3 need extensive memory and FLOPs, with techniques like KV caching, quantization, and parallelism reducing costs.
Open-Source Code Language Models: DeepSeek, Qwen, and Beyond Open-source CodeLLMs like DeepSeek-Coder and Qwen2.5-Coder revolutionize code intelligence by offering repository-level training, multilingual support, and advanced features. These models rival proprietary solutions, fostering transparency, collaboration, and customization.
AI Sustainability: Reducing Carbon Footprint and Driving Innovation As AI technology expands, so does its carbon footprint. This underscores the challenge: while AI accelerates digital transformation, it risks becoming a significant contributor to global CO₂ emissions.