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A collection of 7 posts

Open Source Agentic Frameworks: LangGraph vs CrewAI & More

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

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: 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 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.

Chunking Strategies in Retrieval-Augmented Generation (RAG) Systems

Chunking Strategies in Retrieval-Augmented Generation (RAG) Systems

Chunking enhances Retrieval-Augmented Generation (RAG) by splitting large texts into manageable parts for efficient processing in language models. This technique supports accurate responses, maintains context, and enables fast, parallel processing.

AI Sustainability: Reducing Carbon Footprint and Driving Innovation

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.

Generative AI Integration for Web Developers

Generative AI Integration for Web Developers

Generative AI offers new opportunities in content creation, but challenges like model selection and data complexity hinder developers. This article explores these issues and introduces Prem AI, a platform designed to simplify AI integration.