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OpenAI - Fine-tune GPT-4o with images and text

OpenAI - Fine-tune GPT-4o with images and text

OpenAI’s latest update marks a significant leap in AI capabilities by introducing vision to the fine-tuning API. This update enables developers to fine-tune models that can process and understand visual and textual data, opening up new possibilities for multimodal applications. With AI models now able to "see" and interpret

OpenAI’s Prompt Caching: A Deep Dive

OpenAI’s Prompt Caching: A Deep Dive

This update is welcome news for developers who have been grappling with the challenges of managing API costs and response times. OpenAI's Prompt Caching introduces a mechanism to reuse recently seen input tokens, potentially slashing costs by up to 50% and dramatically reducing latency for repetitive tasks. In this post,

GPT-4 is Getting Faster 🐇

GPT-4 is Getting Faster 🐇

Over the past few months, we've been keenly observing latencies for both GPT 3.5 & 4. The emerging patterns have been intriguing. The standout observation? GPT-4 is catching up in speed, closing the latency gap with GPT 3.5. Our findings reveal a consistent decline in GPT-4 latency. While your

Getting started with LLAMA 2

⭐️ Getting Started with Llama 2

It's been some time since Llama 2's celebrated launch and we've seen the dust settle a bit and real use cases come to life. In this blog post, we answer frequently asked questions on Llama 2's capabilities and when should you be using it. Let's dive in! What is Llama

My Journey with AI-Driven Development: From Curiosity to Necessity

My Journey with AI-Driven Development: From Curiosity to Necessity

As I reflect upon my last 1 year coding journey, I am struck by how deeply Artificial Intelligence (AI) has woven itself into my development practices. From the likes of GitHub Copilot to the genius behind ChatGPT, my approach to writing code has undergone a transformative shift. Allow me to

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance - Summary

The paper discusses the cost associated with querying large language models (LLMs) and proposes FrugalGPT, a framework that uses LLM APIs to process natural language queries within a budget constraint. The framework uses prompt adaptation, LLM approximation, and LLM cascade to reduce the inference

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace - Summary

The paper proposes HuggingGPT, a system that uses large language models (LLMs) like ChatGPT to connect various AI models in machine learning communities like HuggingFace to solve complicated AI tasks. The system leverages the strong language capability of ChatGPT and abundant AI models in HuggingFa