Sparsh Bhasin - MonsterAPI Blog (Page 2)

Sparsh Bhasin

Retrieval-Augmented Generation vs LLM Fine-Tuning

Retrieval-Augmented Generation

RAG vs Fine-Tuning: Choosing the Right Approach for Your LLM

RAG involves combining information retrieval with generative language models. Fine-tuning includes training a pre-trained LLM on a specific dataset to suit a particular task. Here's when to use RAG vs Fine-tuning.

Enhancing LLM Context Length with RoPE Scaling

Enhancing LLM Context Length with RoPE Scaling

Scaling is a fundamental necessity in the development and application of Large Language Models (LLMs) for several compelling reasons.

Everything you need to know before fine-tuning Apple’s Open ELM

Everything you need to know before fine-tuning Apple’s Open ELM

In this blog post, we will explore the key features of OpenELM, its potential implications for the field of natural language processing, and how to fine-tune an open-ELM model on your data using MosterAPI.

Haystack x MonsterAPI: Powerful SLMs at your fingertips

Haystack x MonsterAPI: Powerful SLMs at your fingertips

By integrating MonsterAPI with Haystack, users can tap into large language models to build state of the art RAG pipelines for their chatbots and Agents.

LLaMa 3.1 405B vs GPT4o - Head-to-Head Comparison

LLaMa 3.1 405B vs GPT4o - Head-to-Head Comparison

Comparison of LLaMa 3.1 405B and gpt-4o on parameters like mathematics, economics, linguistic understanding, and more.

Enhancing Language Model Fine-tuning with LLM Data Augmentation

Data augmentation

Enhancing Language Model Fine-tuning with LLM Data Augmentation

Fine-tuning large language models (LLMs) for specific applications can sometimes be constrained by the limited availability of targeted data. This is where data augmentation steps in , allowing developers to expand their existing limited datasets and improve model performance without the need for manual data collection and wrangling efforts. Here we

Deploying ComfyUI Docker Image on MonsterAPI

Deploying ComfyUI Docker Image on MonsterAPI

Deploying the ComfyUI Docker image to MonsterAPI simplifies the process of hosting a GPU-powered ComfyUI service.

A Guide to Negative Prompts in Stable Diffusion

negative prompts in stable diffusion

A Guide to Negative Prompts in Stable Diffusion

Stable Diffusion, probably the most powerful text-to-image generation model, can generate anything you can dream up, as long as your prompt is clear. You can improve the quality of your images by using negative prompting. You can break down prompting into two parts: * Positive prompts * Negative prompts The positive prompts

What is vLLM and How to Implement It?

What is vLLM and How to Implement It?

Serving large language models (LLMs) in production environments poses significant challenges, including high memory consumption, latency issues, and the need for efficient resource management. These challenges often result in suboptimal performance and scalability problems, hindering the deployment of LLMs in real-world applications. vLLM addresses these challenges by optimizing memory management

Unsloth & SDPA Integrated in MonsterAPI for 2x LLM Finetuning Performance Boost

Unsloth integration

Unsloth & SDPA Integrated in MonsterAPI for 2x LLM Finetuning Performance Boost

Finetuning LLMs to fit your business use case is crucial for building powerful Generative AI applications. Whether you’re developing a ChatGPT alternative or Chatbot for customer support or an email copywriting AI model, finetuning plays a critical role in improving the performance and quality for your specific application needs.

Finetuning LLMs with MonsterTuner

How to Fine-tune Open Source AI Models like LlaMa, Mistral, SDXL

Fine-tuning is a technique in machine learning used to adapt a pre-trained model to a new and more specific task. It's like taking a highly trained athlete and giving them specialized coaching to excel in a particular sport. In this blog, we will explore the various methods to build our

Stable Diffusion 3 - Latest Image Generation Model that beats MidJourney, DALL-E, & Google ImageFX

Stable Diffusion 3

Stable Diffusion 3 - Latest Image Generation Model that beats MidJourney, DALL-E, & Google ImageFX

Stable Diffusion 3 (SD3) is the latest text-to-image generation model from Stability AI, designed to create highly realistic and detailed images from textual descriptions. This model ranges from 800 million to 8 billion parameters, surpassing its predecessors in terms of realism, detail, and color accuracy. Stable Diffusion 3 Performance Stable

What is LORA and Q-LORA Finetuning?

What is LORA and Q-LORA Finetuning?

Low-Rank Adaptation (LoRA) and its variant, Quantized Low-Rank Adaptation (Q-LoRA)—significantly improve how LLMs are fine-tuned and deployed.

MonsterAPI is Now Integrated With Portkey - Here’s Everything You Need to Know

MonsterAPI is Now Integrated With Portkey - Here’s Everything You Need to Know

MonsterAPI is now integrated in Portkey, making it easier for developers to route LLM text generation requests directly to our cost-effective, scalable LLM APIs while using Portkey SDK.