Stay up-to-date with the latest industry news as our teams shares insights and trends from the world of Generative AI.
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.
Read moreIn 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.
Read moreThe Klu team evaluates the new functionality rolled out by OpenAI this week.
Read moreAs Azure OpenAI continues gaining traction for its speed and startup credits, understanding the key differences from the public OpenAI API is key.
Read moreIn 2023, Generative AI models like ChatGPT dominated headlines and sparked calls for regulation, while risks from physical AI systems like autonomous vehicles and deepfakes went largely overlooked.
Read moreStartups need to work smart and efficient. This blog post explores the top AI tools we use daily that help streamline operations, create content, and automate tasks.
Read moreBreak down common AI misconceptions around understanding, controlling, and aligning large language models, highlighting techniques like RLHF that shape model outputs to human preferences.
Read moreBuild your first Klu Action with the Python SDK in 5 Steps
Read moreBuild your first Klu Action with the Typescript SDK in 5 Steps
Read moreExpanding our global deployment of OpenAI GPT-4 across 12 regions, emphasizing redundancy, load scaling, and regional privacy compliance.
Read moreOpenAI GPT-4 Model Card
Read moreLearn 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.
Read moreDiscover 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.
Read moreLarge 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.
Read moreMultimodal 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.
Read moreCollaborate with your team on reliable Generative AI features.
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