CELSO Data Science

CELSO Data Science "Artificial Intelligence began with an ancient wish to forge the Gods.„ - Pamela McCorduck

29/03/2026

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.

27/02/2024

"The LAM-based policy achieves the
same score as the oracle given as few as 200 ex￾pert samples to adapt, despite almost certainly
never seeing CoinRun before. This provides evi￾dence that the learnt latent actions are consistent
and meaningful for transfer, as the mapping from
latent to real contains no information about the
current observation."
https://arxiv.org/abs/2402.15391

"We design two types of input tags: domain tags are used to delimit specialized representations (e.g., chemical formulas...
10/02/2024

"We design two types of input tags: domain tags are used to delimit specialized representations (e.g., chemical formulas) and provide domain-relevant context; function tags are used to represent specific functions (e.g., predicting molecular properties) and compress function-solving instructions. "

Join the discussion on this paper page

Dec.06 2023: Milestone, Gemini - the first truly multimodal AI”We designed Gemini to be natively multimodal, pre-trained...
06/12/2023

Dec.06 2023: Milestone, Gemini - the first truly multimodal AI

”We designed Gemini to be natively multimodal, pre-trained from the start on different modalities. Then we fine-tuned it with additional multimodal data to further refine its effectiveness. This helps Gemini seamlessly understand and reason about all kinds of inputs from the ground up, far better than existing multimodal models — and its capabilities are stateof the art in nearly every domain.”

Gemini is our most capable and general model, built to be multimodal and optimized for three different sizes: Ultra, Pro and Nano.

27/11/2023

PAS CU PAS către rațiune

# # # Question:
John and Mark are in a room with a ball, a basket and a box. John puts the ball in the
box, then leaves for work. While John is away, Mark puts the ball in the basket, and then
leaves for school. They both come back together later in the day, and they do not know
what happened in the room after each of them left the room. Where do they think the ball is?

# # # Orca-2-13B:
Let’s analyze the situation step by step:
1. John puts the ball in the box.
2. John leaves for work.
3. Mark comes into the room and puts the ball in the basket.
4. Mark leaves for school.
5. John and Mark both return to the room.
At this point, John and Mark have not seen each other’s actions. Therefore, they only know
what happened while they were in the room.
John only saw the ball in the box before he left for work. Mark only saw the ball in the
basket before he left for school. Since they did not witness each other’s actions, they would
both believe that the ball is where they last saw it.
So, John would think the ball is in the box, and Mark would think the ball is in the basket.

MSFT
23/11/2023

MSFT

"... we’re doubling the amount of information you can relay to Claude with a limit of 200,000 tokens, translating to rou...
21/11/2023

"... we’re doubling the amount of information you can relay to Claude with a limit of 200,000 tokens, translating to roughly 150,000 words, or over 500 pages of material. Our users can now upload technical documentation like entire codebases, financial statements like S-1s, or even long literary works like The Iliad or The Odyssey."

Our latest model, Claude 2.1, is now available over API in our Console and is powering our claude.ai chat experience.

Un nou nivel de abstractizare a dezvoltării de software (cu tehnologie primitivă - unimodal/text):"Each stage engages a ...
04/11/2023

Un nou nivel de abstractizare a dezvoltării de software (cu tehnologie primitivă - unimodal/text):

"Each stage engages a team of agents, such as programmers, code reviewers, and test engineers, fostering collaborative dialogue and facilitating a seamless workflow. The chat chain acts as a facilitator, breaking down each stage into atomic subtasks. This enables dual roles, allowing for proposing and validating solutions through context-aware communication, leading to efficient resolution of specific subtasks."

https://arxiv.org/pdf/2307.07924v3.pdf

Future of ASIC
22/10/2023

Future of ASIC

The Wafer-Scale Engine (WSE) is the revolutionary central processor for our deep learning computer system. The second-generation WSE (WSE-2) powers our CS-2 system: it is the largest computer chip ever built and the fastest AI processor on Earth.

"..we revealed that glutamatergic astrocytes contribute to cortico-hippocampal and nigrostriatal circuit function during...
19/09/2023

"..we revealed that glutamatergic astrocytes contribute to cortico-hippocampal and nigrostriatal circuit function during normal behaviour and pathological processes.."

A subpopulation of astrocytes selectively expresses synaptic-like glutamate-release machinery, actively secretes the transmitter and is localized to discrete sites in the hippocampus.

New tools
07/07/2023

New tools

Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models.

Chapeau!"While still a real issue, GPT-4 significantly reduces hallucinations relative to previous models (which have th...
15/03/2023

Chapeau!
"While still a real issue, GPT-4 significantly reduces hallucinations relative to previous models (which have themselves been improving with each iteration). GPT-4 scores 40% higher than our latest GPT-3.5 on our internal adversarial factuality evaluations"

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various prof...

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