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Meta’s new LIMA language model reaches GPT-4 level

With LIMA, Meta’s AI researchers introduce a new language model that achieves GPT-4 and Bard level performance in test scenarios, albeit fine-tuned with relatively few examples.

LIMA stands for “Less is More for Alignment,” and the name hints at the model’s function: It is intended to show that with an extensively pre-trained AI model, a few examples are sufficient to achieve high-quality results.

Few examples in this case means that Meta manually selected 1,000 diverse prompts and their output from sources such as other research papers, WikiHow, StackExchange, and Reddit.

AI Unlocks Enzyme Secrets

Summary: Researchers used artificial intelligence to predict how enzymes interact with various substrates. The team developed an AI model that can accurately predict whether an enzyme can work with a particular molecule.

Their enzyme substrate prediction (ESP) model provides a valuable tool for drug research and biotechnology, with applications ranging from the creation of new drugs to the production of biofuels.

Are Large Language Model Generative AIs Sentient, Conscious or Thinking?

ChatGPT has changed the world since it emerged a few short months ago. Where will future advancements in generative AI take us?


Welcome back Katie Brenneman, a regular contributor to 21st Century Tech Blog. Several weeks ago when ChatGPT entered the headlines I suggested to Katie that she consider writing about Large Language Modelling (LLM) and the technological and societal implications in terms of its capabilities. Were we witnessing the birth of consciousness in this new artificial intelligence (AI) discipline, or were we coming to terms with what defines our sentience?

By definition, sentience is about feelings and sensations and not thinking. Consciousness, on the other hand, is about our awareness of self and our place in the world around us. And thinking is about the ability to reason, consider a problem, come up with an idea or solution, or have an opinion.

So from what we know about ChatGPT in its various iterations, does it meet the definition of any of these terms? Is it sentient? Is it conscious? Is it thinking?

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When Microsoft-funded lab OpenAI launched ChatGPT in February, millions of people realized almost overnight what tech professionals have understood for a long time: Today’s AI tools are advanced enough to transform daily life as well as an incredibly broad range of industries. Microsoft’s Bing leaped from a distant second place in search to a much higher-profile level. Concepts like large language models (LLMs) and natural language processing are now part of mainstream discussion.

However, with the spotlight also comes scrutiny. Regulators around the world are taking note of AI’s risks to user privacy. The Elon Musk-backed Future of Life Institute amassed 1,000 signatures from tech leaders asking for a six-month pause on training AI tools that are more advanced than GPT-4, which powers ChatGPT.

Can charismatic robots help teams be more creative?

Increasingly, social robots are being used for support in educational contexts. But does the sound of a social robot affect how well they perform, especially when dealing with teams of humans? Teamwork is a key factor in human creativity, boosting collaboration and new ideas. Danish scientists set out to understand whether robots using a voice designed to sound charismatic would be more successful as team creativity facilitators.

“We had a robot instruct teams of students in a creativity task. The robot either used a confident, passionate—ie charismatic—tone of voice or a normal, matter-of-fact ,” said Dr. Kerstin Fischer of the University of Southern Denmark, corresponding author of the study in Frontiers in Communication. “We found that when the robot spoke in a charismatic speaking style, students’ ideas were more original and more elaborate.”

We know that acting as facilitators can boost creativity, and that the success of facilitators is at least partly dependent on charisma: people respond to charismatic speech by becoming more confident and engaged. Fischer and her colleagues aimed to see if this effect could be reproduced with the voices of social robots by using a text-to-speech function engineered for characteristics associated with charismatic speaking, such as a specific pitch range and way of stressing words. Two voices were developed, one charismatic and one less expressive, based on a range of parameters which correlate with perceived speaker charisma.