Open source LLMs like Llama 2, Mistral 7B, and Falcon are bringing advanced AI capabilities into the public domain. This guide explores the best open-source LLMs and variants for capabilities like chat, reasoning, and coding while outlining options to test models online or run them locally and in production.
In this post, we dive into Retool's State of AI 2023 report, analyzing key findings from a survey of over 1,500 tech professionals. We explore current AI usage, tooling preferences, and future outlooks, providing insights into how generative AI tools are being leveraged today and the evolving expectations.
Learn how to fine-tune OpenAI GPT-3.5 Turbo using your own data – with steps for data preparation, training, evaluation, and deployment to create customized LLM deployments for your specific applications.
Discover the top 5 open-source large language models in 2023 that developers can leverage, including LLaMA, Vicuna, Falcon, MPT, and StableLM. Compare model details like architecture, data, metrics, customization, community support and more to determine the best fit for your NLP projects.
Large Language Models (LLMs) have revolutionized the field of natural language processing, enabling a broad range of applications, from sentiment analysis to customer support chatbots. However, extracting the full potential of these powerful models requires a deep understanding of their inner workings and the application of optimization techniques. In this blog post, we will explore the world of optimizing LLM app features, covering methods such as prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning, and iterative refinement to help you unleash the true capabilities of LLMs.
Multimodal AI Models are transforming the landscape of artificial intelligence by enabling systems to process and understand multiple data types simultaneously, much like human cognition. This blog post delves into the power and potential of these models, exploring notable examples like GPT-4-V, LLava 1.5, and Fuyu-8B. We will discuss the challenges and solutions in multimodal AI integration, and explore their real-life applications and future implications. Join us as we unravel the future of artificial intelligence through the lens of multimodal AI models.