We are pleased to announce Claude 2, our new model. Claude 2 has improved performance, longer responses, and can be accessed via API as well as a new public-facing beta website, claude.ai. We have heard from our users that Claude is easy to converse with, clearly explains its thinking, is less likely to produce harmful outputs, and has a longer memory. We have made improvements from our previous models on coding, math, and reasoning. For example, our latest model scored 76.5% on the multiple choice section of the Bar exam, up from 73.0% with Claude 1.3. When compared to college students applying to graduate school, Claude 2 scores above the 90th percentile on the GRE reading and writing exams, and similarly to the median applicant on quantitative reasoning.
Think of Claude as a friendly, enthusiastic colleague or personal assistant who can be instructed in natural language to help you with many tasks. The Claude 2 API for businesses is being offered for the same price as Claude 1.3. Additionally, anyone in the US and UK can start using our beta chat experience today. — Read More
Tag Archives: ChatBots
GPT-4 Architecture, Infrastructure, Training Dataset, Costs, Vision, MoE
OpenAI is keeping the architecture of GPT-4 closed not because of some existential risk to humanity but because what they’ve built is replicable. In fact, we expect Google, Meta, Anthropic, Inflection, Character, Tencent, ByteDance, Baidu, and more to all have models as capable as GPT-4 if not more capable in the near term.
Don’t get us wrong, OpenAI has amazing engineering, and what they built is incredible, but the solution they arrived at is not magic. It is an elegant solution with many complex tradeoffs. Going big is only a portion of the battle. OpenAI’s most durable moat is that they have the most real-world usage, leading engineering talent, and can continue to race ahead of others with future models. — Read More
Yam Peleg posted the details. Yam’s Post Here … at least for now
AI-text detection tools are really easy to fool
Within weeks of ChatGPT’s launch, there were fears that students would be using the chatbot to spin up passable essays in seconds. In response to those fears, startups started making products that promise to spot whether text was written by a human or a machine.
The problem is that it’s relatively simple to trick these tools and avoid detection, according to new research that has not yet been peer reviewed. — Read More
OpenAI launches its GPT-4 API into general availability
OpenAI LP today made GPT-4, its newest and most capable language model, generally available through a cloud-based application programming interface.
… Alongside GPT-4, OpenAI is making three other AI models’ APIs generally available: GPT-3.5 Turbo, a predecessor to GPT-4 that offers more limited capabilities for a significantly lower cost, DALL-E for image generation, and Whisper for speech transcription. — Read More
CognoSpeak: AI tool uses speech technology to quickly assess dementia risk
A new AI tool that could help doctors assess the early signs of dementia and Alzheimer’s more quickly and efficiently, has been developed by researchers at the University of Sheffield.
The system, known as CognoSpeak, uses a virtual agent displayed on a screen to engage a patient in a conversation. It asks memory-probing questions inspired by those used in outpatient consultations and conducts cognitive tests, such as picture descriptions and verbal fluency tests. — Read More
ChatData
Chat with/Query 2 milions arxiv papers. — Read More
NASA is creating a ChatGPT-like assistant for astronauts
Despite our intrinsic distrust of AI in space taught to us by movies like 2001: A Space Odyssey (“I’m afraid I can’t do that, Dave“), it offers large advantages to both manned and unmanned missions. To that end, NASA is developing a system that will allow astronauts to perform maneuvers, conduct experiments and more using a natural-language ChatGPT-like interface, The Guardian reported.
“The idea is to get to a point where we have conversational interactions with space vehicles and they [are] also talking back to us on alerts, interesting findings they see in the solar system and beyond,” said Dr. Larissa Suzuki, speaking at an IEEE meeting on next-gen space communication. “It’s really not like science fiction anymore.”
NASA aims to deploy the system on its Lunar Gateway, a space station that will orbit the Moon and provide support for NASA’s Artemis mission. It would use a natural language interface that allows astronauts to seek advice on experiments or conduct maneuvers without diving into complex manuals. — Read More
Google DeepMind’s CEO Says Its Next Algorithm Will Eclipse ChatGPT
In 2016, an artificial intelligence program called AlphaGo from Google’s DeepMind AI lab made history by defeating a champion player of the board game Go. Now Demis Hassabis, DeepMind’s cofounder and CEO, says his engineers are using techniques from AlphaGo to make an AI system dubbed Gemini that will be more capable than that behind OpenAI’s ChatGPT.
DeepMind’s Gemini, which is still in development, is a large language model that works with text and is similar in nature to GPT-4, which powers ChatGPT. But Hassabis says his team will combine that technology with techniques used in AlphaGo, aiming to give the system new capabilities such as planning or the ability to solve problems.
“At a high level you can think of Gemini as combining some of the strengths of AlphaGo-type systems with the amazing language capabilities of the large models,” Hassabis says. “We also have some new innovations that are going to be pretty interesting.” Gemini was first teased at Google’s developer conference last month, when the company announced a raft of new AI projects. — Read More
Inflection debuts its own foundation AI model to rival Google and OpenAI LLMs
Inflection, a well-funded AI startup aiming to create “personal AI for everyone,” has taken the wraps off the large language model powering its Pi conversational agent. It’s hard to evaluate the quality of these things in any way, let alone objectively and systematically, but a little competition is a good thing.
Inflection-1, as the model is called, is of roughly GPT-3.5 (AKA ChatGPT) size and capabilities — as measured in the computing power used to train them. The company claims that it’s competitive or superior with other models on this tier, backing it up with a “technical memo” describing some benchmarks it ran on its model, GPT-3.5, LLaMA, Chinchilla and PaLM-540B. — Read More
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