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Beyond Tool Calling: Why AI Agents Should Write Code to Speak with MCP
raditional JSON tool calling is fragile. "Code Mode" changes the game: convert MCP tools to TypeScript APIs and let AI agents write executable code. It’s faster, handles complex logic, and uses secure sandboxes. Get the full code demo here.

Debasish
Dec 45 min read
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The Efficiency Gap: Why JSON Might Be Bloating Your LLM Costs
Is JSON bloating your LLM costs? Discover TOON (Token-Oriented Object Notation), the high-efficiency alternative designed specifically for Generative AI. By decoupling schema from data, TOON can slash token usage by nearly 50% compared to standard JSON. Perfect for RAG pipelines, lowering API latency, and maximizing context windows. Check out our head-to-head code benchmark to see exactly how much syntax overhead you can eliminate today.

Debasish
Nov 263 min read
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Agriculture Meets AI: Precision Crop Planning and Sustainable Farming Using GenAI
Agriculture Meets AI: Precision Crop Planning and Sustainable Farming Using GenAI

Ritesh Rout
Aug 205 min read
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Introducing the Agent File (.af): A Standard for Stateful AI Agents
Letta's new .af format standardizes AI agent portability, memory, and sharing—powering the next-gen agent ecosystem.

Ritesh Rout
May 54 min read
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The Evolution of Generative AI: From GPT-2 to GPT-4 and Beyond
Explore the rise of language models from GPT-2 to GPT-4 and their game-changing impact on AI and industry.

Ritesh Rout
Apr 45 min read
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"Battle of AI Titans: QwQ-32B vs. Gemma 3 vs. Mistral Small vs. DeepSeek R1 – A Deep Dive"
Battle of AI Titans: QwQ-32B vs. Gemma 3 vs. Mistral Small vs. DeepSeek R1 – A Deep Dive

Srinibash Mishra
Apr 112 min read
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LoRA: Revolutionizing Fine-Tuning for Large Language Models with Efficiency and Scalability
LoRA: A game-changing technique for fine-tuning LLMs like GPT-4, using low-rank matrices for efficient, scalable, and cost-effective AI.

Subhradyuti Jana
Nov 26, 20245 min read
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Graph Retrieval-Augmented Generation ( Graph RAG ) Key Concepts
Graph RAG combines knowledge graphs with retrieval-augmented generation, enriching LLMs with accurate, contextual, and relational data for b

Debasish
Nov 22, 20248 min read
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LightRAG: Advancing Retrieval-Augmented Generation with Graph-Based Dual-Level Retrieval for Enhanced Complex Information Synthesis
LightRAG: A dual-level retrieval breakthrough in RAG, using graph-based indexing for complex, precise AI responses. A leap in dynamic AI syn

Subhradyuti Jana
Nov 8, 20247 min read
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Future of Generative AI in Healthcare: Key Use Cases and Insights
Generative AI is revolutionizing healthcare with personalized patient engagement, intelligent triage, and automated tasks, enhancing outcome

Debasish
Oct 22, 20246 min read
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Anomaly Detection: Unveiling the Unexpected in Data
Anomaly detection, also known as outlier detection, plays a crucial role in data science and artificial intelligence. It involves...

Smita
Mar 4, 20246 min read
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Stable Diffusion 3: Powering realistic image and video generation through Generative AI
Link to sign up to join the waitlist : https://stability.ai/stablediffusion3 Stable Diffusion 3, recently announced by Stability AI, is...

Smita
Feb 28, 20242 min read
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Confounding Variables: The Sneaky Culprits in Research
What is Confounding Variable? Confounding variables, also known as confounders, lurking variables, or extraneous variables, are variables...

Smita
Jan 17, 20241 min read
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Sales & Marketing Super Powered by Gen AI
The impact of large language models (LLMs) such as GPT-4 on marketing and sales is profound and multifaceted. This article will explore...

Swapnarani Sahu
Jan 11, 202416 min read
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Prompt Engineering
What is Prompt Engineering? Prompt engineering is a process of creating a set of prompts, or questions, that are used to guide the user...

Swapnarani Sahu
Dec 8, 20236 min read
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