#genai Development Tutorials & Tips | Roast Dev

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How RAG & MCP solve model limitations differently

Large language models (LLMs) like Claude, and GPT-4o have impressive capabilities but face two major limitations: the knowledge they contain is frozen in time (more specifically, at training time), an...

16.04.2025 0 Read More

Applications of Generative AI today?

Generative AI has made significant strides in recent years and is now widely used across various industries to create new content, solve complex problems, and enhance processes. Here are some key appl...

16.04.2025 0 Read More

How do generative adversarial networks (GANs) function?

Generative Adversarial Networks (GANs) are a class of machine learning frameworks introduced by Ian Goodfellow in 2014. They are designed to generate new data samples that resemble a given dataset. GA...

17.04.2025 0 Read More

Qwen2.5 Omni: GenAI Meets Multimodality

Read more of my blogs on Alibaba Cloud CommunityIn the Generative AI (GenAI) era, Large Language Models (LLMs) are no longer confined to text. Multimodal models like Qwen2.5 Omni bridge the gap betwee...

18.04.2025 0 Read More

Mercury Coder - A Quick Test of Diffusion Language Model

I have recently touched on how diffusion/transformer models come into new domains - specifically the February news on Larage Language Diffusion models (LLaDA, Mercury).Last weekend, I received an invi...

18.04.2025 0 Read More

MCP (Model Context Protocol) Simplified

Moved to medium: https://medium.com/stackademic/mcp-model-context-protocol-simplified-976b46f01efd...

18.04.2025 0 Read More

Unleashing the Power of Gen AI

Explore how Generative AI (GenAI) is transforming various business sectors. In digital marketing, GenAI streamlines content creation, enhances personalization, and optimizes SEO strategies. For eComme...

18.04.2025 0 Read More

How is GPT fine-tuned for specific domain tasks?

GPT (Generative Pre-trained Transformer) is a powerful language model trained on a diverse range of internet text. However, its general training may not be sufficient for domain-specific applications ...

18.04.2025 0 Read More

Is Llama 4 really a failure or disaster ?

A few days ago, Meta released Llama 4 in three variants — Behemoth, Maverick and Scout. Groq have Llama 4 Scout in their model hub and it can be easily accessed with their playground and the API ser...

19.04.2025 0 Read More

Gen AI’s Path to Deeper Learning: A Socratic Approach to Staying Engaged

“Worst possible thing you can do when learning something new is, that you go on the internet, find the perfect way to do it, and you just implement that. The reason being is that you missed out on ...

19.04.2025 0 Read More

How RAG & MCP solve model limitations differently

Applications of Generative AI today?

How do generative adversarial networks (GANs) function?

Qwen2.5 Omni: GenAI Meets Multimodality

Mercury Coder - A Quick Test of Diffusion Language Model

MCP (Model Context Protocol) Simplified

Unleashing the Power of Gen AI

How is GPT fine-tuned for specific domain tasks?

Is Llama 4 really a failure or disaster ?

Gen AI’s Path to Deeper Learning: A Socratic Approach to Staying Engaged

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