Atul N Yadav

1 month ago | atul-yadav7717.medium.com | Atul N Yadav

Atul Yadav·Follow4 min read·--Artificial Intelligence (AI) has revolutionized industries and streamlined numerous processes. However, as AI becomes integral to more sophisticated tasks, the limitations of current systems are becoming increasingly evident. In this detailed exploration, we examine how the Model Context Protocol (MCP) addresses these limitations, offering unparalleled integration capabilities and orchestration functionalities.

1 month ago | atul-yadav7717.medium.com | Atul N Yadav

Member-only storyAtul Yadav·Follow5 min read·--Grok 3Large Language Models (LLMs) have revolutionized numerous industries, driving innovation across customer support, content creation, automation, and analytics. Companies worldwide have eagerly adopted these advanced AI systems like GPT-4, Llama 3, and Mistral. However, the widespread use of LLMs comes with significant financial implications.

2 months ago | atul-yadav7717.medium.com | Atul N Yadav

Member-only storyAtul Yadav·Follow5 min read·--Picture this: a crystal ball no bigger than a ping-pong ball, humming with AI circuits, predicting tomorrow’s weather, next week’s traffic, or your store’s holiday sales — all with eerie precision. Now imagine it fits on your laptop, runs in a blink, and outperforms tech giants that need supercomputers to breathe. That’s not sci-fi — it’s Tiny Time Mixers (TTMs), a breakthrough from IBM Research that’s rewriting how we see the future.

Jan 25, 2025 | atul-yadav7717.medium.com | Atul N Yadav

Atul Yadav·Follow4 min read·--Artificial intelligence (AI) has been advancing at breakneck speed, with large language models (LLMs) becoming increasingly adept at solving complex problems. Yet, even amidst such rapid progress, a question looms: can we create models that surpass existing leaders in reasoning, scalability, and user accessibility? DeepSeek’s latest breakthroughs answer with a resounding yes.

Oct 3, 2024 | atul-yadav7717.medium.com | Atul N Yadav

Atul Yadav·Follow5 min read·--Generated by: DALLEToday, we will discuss a topic that’s transforming how businesses engage with AI and machine learning: the increased adoption of low-code and no-code ML platforms. But before we dive in, let’s set the scene with a quick poll:🤔 Quick Poll: Have you or your team experimented with low-code/no-code ML platforms in your projects? A. Yes, we’re already using them!B. We’re exploring the options. C. Not yet, but curious. D. No, we prefer traditional ML pipelines.