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Everything about AI framework

Article · .NET
AI Readiness Scoring for Enterprise Applications: A Practical Framework
Unlock AI success with a practical framework for scoring enterprise application readiness. Identify gaps, prioritize improvements, and ensure ROI.
Niharika GuptaJun 192,5971,000
Video · AI Agents
Enterprise NLP with BERT Optimized Text Analysis Framework
Learn how to build enterprise NLP solutions using BERT with an optimized text analysis framework. In this session, Rohit Gupta explains real-world implementation strategies, model optimization techniques, and best practices for scalable natural language processing systems.

CSharp TVMay 52,227250

Article · Prompt Engineering

From Prompting to Governing: Metacognitive AI with the GSCP-15 Framework

Explore GSCP-15, a framework for metacognitive AI that governs execution, ensures traceability, and promotes continuous learning for reliable AI systems.

John GodelApr 127061,000

Article · AI Agents

Gödel Governed Agentic Systems Framework (GGASF)

GGASF: A framework shifting AI focus from fluent language to structured state, governance, and verification for dependable, auditable outcomes. Ensures reliability.

John GodelJan 221,9491,000

Article · Machine Learning

PyTorch vs TensorFlow: A Comparative Analysis for Deep Learning Practitioners

A detailed PyTorch vs. TensorFlow comparison for deep learning. Explore key differences in programming, deployment, ecosystem, performance, and community to choose the right framework for your AI project.

Deepika SawantNov 25, 20251,2831,000

Article · Machine Learning

PyTorch: A Comprehensive Framework for Modern Deep Learning

PyTorch is a leading deep learning framework known for its dynamic graphs, Pythonic interface, and robust ecosystem. Ideal for research and production AI.

Deepika SawantNov 25, 20251,1531,000

Article · Langchain

What Are the Core Components of LangChain?

Unlock the power of LangChain! This guide breaks down the 5 core components: Chains (structured workflows), Agents (dynamic decision-making), Memory (context retention), Retrievers (data fetching), and Tools (API integrations). Learn how these elements combine to build smarter, context-aware AI applications capable of real-world interaction.

Kautilya UtkarshOct 13, 20252,3541,000

Article · Copilot

Semantic Kernel - A brief overview

In the context of language processing and computational linguistics, semantic kernels are mathematical tools or functions used to measure and compare the semantic similarity between pieces of text.

Swesh SAug 5, 20242,5711,000

AI framework · by contributions

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John Godel2 posts · 2.7k readsMVP 2

Deepika Sawant2 posts · 2.4k readsMVP 3

Niharika Gupta1 post · 2.6k reads 4

Swesh S1 post · 2.6k readsMVP 5

Kautilya Utkarsh1 post · 2.4k reads

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DevSocial PressAI native · 02The Builders SeriesClaude for AI-Native BuildersA beginner's guide for creators and innovators.Mahesh Chand171 pages · Beginner