We’re launching ChatGPT Enterprise, which offers enterprise-grade security and privacy, unlimited higher-speed GPT-4 access, longer context windows for processing longer inputs, advanced data analysis capabilities, customization options, and much more. We believe AI can assist and elevate every aspect of our working lives and make teams more creative and productive. Today marks another step towards an AI assistant for work that helps with any task, is customized for your organization, and that protects your company data. — Read More
Tag Archives: ChatBots
Spread Your Wings: Falcon 180B is here
Today, we’re excited to welcome TII’s Falcon 180B to HuggingFace! Falcon 180B sets a new state-of-the-art for open models. It is the largest openly available language model, with 180 billion parameters, and was trained on a massive 3.5 trillion tokens using TII’s RefinedWeb dataset. This represents the longest single-epoch pretraining for an open model.
You can find the model on the Hugging Face Hub (base and chat model) and interact with the model on the Falcon Chat Demo Space.
In terms of capabilities, Falcon 180B achieves state-of-the-art results across natural language tasks. It tops the leaderboard for (pre-trained) open-access models and rivals proprietary models like PaLM-2. — Read More
Doctor GPT
DoctorGPT is a Large Language Model that can pass the US Medical Licensing Exam. This is an open-source project with a mission to provide everyone their own private doctor. DoctorGPT is a version of Meta’s Llama2 7 billion parameter Large Language Model that was fine-tuned on a Medical Dialogue Dataset, then further improved using Reinforcement Learning & Constitutional AI. Since the model is only 3 Gigabytes in size, it fits on any local device, so there is no need to pay an API to use it. It’s free, made for offline usage which preserves patient confidentiality, and it’s available on iOS, Android, and Web. Pull requests for feature additions and improvements are encouraged. — Read More
Moviewiser
How is ChatGPT’s behavior changing over time?
GPT-3.5 and GPT-4 are the two most widely used large language model (LLM) services. However, when and how these models are updated over time is opaque. Here, we evaluate the March 2023 and June 2023 versions of GPT-3.5 and GPT-4 on four diverse tasks: 1) solving math problems, 2) answering sensitive/dangerous questions, 3) generating code and 4) visual reasoning. We find that the performance and behavior of both GPT-3.5 and GPT-4 can vary greatly over time. For example, GPT-4 (March 2023) was very good at identifying prime numbers (accuracy 97.6%) but GPT-4 (June 2023) was very poor on these same questions (accuracy 2.4%). Interestingly GPT-3.5 (June 2023) was much better than GPT-3.5 (March 2023) in this task. GPT-4 was less willing to answer sensitive questions in June than in March, and both GPT-4 and GPT-3.5 had more formatting mistakes in code generation in June than in March. Overall, our findings shows that the behavior of the same LLM service can change substantially in a relatively short amount of time, highlighting the need for continuous monitoring of LLM quality. — Read More
Apple sneaks into the AI chatbot race with ‘Apple GPT’
The iPhone maker has begun prepping an AI chatbot to rival OpenAI’s ChatGPT, Microsoft Bing, and Google Bard.
It’s the news we’ve all been waiting for. Apple is finally throwing its hat in the proverbial generative AI ring and joining, well, everybody else to contest for OpenAI’s artificial intelligence crown.
The news comes through reports from Bloomberg that the company is quietly working on a tool that engineers dub “Apple GPT,” indirectly referring to ChatGPT, the most famous AI chatbot and, until recently, fastest-growing ‘app’ of all time. — Read More
Announcing LangSmith, a unified platform for debugging, testing, evaluating, and monitoring your LLM applications
LangChain exists to make it as easy as possible to develop LLM-powered applications.
… Today, we’re introducing LangSmith, a platform to help developers close the gap between prototype and production. It’s designed for building and iterating on products that can harness the power–and wrangle the complexity–of LLMs.
LangSmith is now in closed beta. So if you’re looking for a robust, unified, system for debugging, testing, evaluating, and monitoring your LLM applications, sign up here. — Read More
SCALE: Custom Open-Source LLMs
Fine-tune open-source large language models for improved performance on your most important use cases.
… Scale Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment. — Read More
Meta’s latest AI model is free for all
The company hopes that making LLaMA 2 open source might give it the edge over rivals like OpenAI.
Meta is going all in on open-source AI. The company is today unveiling LLaMA 2, its first large language model that’s available for anyone to use—for free.
Since OpenAI released its hugely popular AI chatbot ChatGPT last November, tech companies have been racing to release models in hopes of overthrowing its supremacy. Meta has been in the slow lane. In February when competitors Microsoft and Google announced their AI chatbots, Meta rolled out the first, smaller version of LLaMA, restricted to researchers. But it hopes that releasing LLaMA 2, and making it free for anyone to build commercial products on top of, will help it catch up. — Read More
Artificial intelligence chatbots are spreading fast, but hype about them is spreading faster
Those of us who have spent the last few decades reporting on technology have seen fads and fashions rise and fall on investment bubbles.
In the late 1990s it was dot-com companies, more recently crypto, blockchain, NFTs, driverless cars, the “metaverse.” All have had their day in the sun amid promises they would change the world, or at least banking and finance, the arts, transportation, society at large. To date, those promises are spectacularly unfulfilled.
That brings us to artificial intelligence chatbots.
In from three to eight years we will have a machine with the general intelligence of an average human being…. In a few months, it will be at genius level and a few months after that its powers will be incalculable. — AI pioneer Marvin Minsky — in 1970
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