TimesFM-3

TimesFM-3

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About

OpenAI o1-mini is a new, cost-effective AI model designed for enhanced reasoning, particularly excelling in STEM fields like mathematics and coding. It's part of the o1 series, which focuses on solving complex problems by spending more time "thinking" through solutions. Despite being smaller and 80% cheaper than its sibling, the o1-preview, o1-mini performs competitively in coding tasks and mathematical reasoning, making it an accessible option for developers and enterprises looking for efficient AI solutions.

About

TimesFM-3 is a state-of-the-art time series foundation model designed for highly accurate multivariate forecasting in a single forward pass. The 330 million parameter model is pre-trained on a real-world and synthetic time-series corpus comprising more than 1 trillion time points, building on the efficiency and zero-shot generalization of earlier TimesFM models. It can jointly predict multiple coevolving time series and capture dependencies that improve accuracy without task-specific fine-tuning. The model supports multiple targets with point and quantile forecasts, past covariates that are known only historically, and past-future dynamic covariates such as planned promotions, holidays, or weather forecasts. TimesFM-3 uses a decoder-only transformer architecture, processes contiguous data in patches of 32 time steps, and applies alternating causal temporal attention and full variate attention to combine patterns across time and related series.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users interested in a powerful but cost-effective AI model with enhanced reasoning skills

Audience

Data scientists, researchers, and developers wanting to forecast multiple related time series and incorporate historical and known future signals

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • I've been using OpenAI's o1-mini model, and it's impressive how it handles complex reasoning tasks, especially in mathematics and coding. Despite being a more compact version, it maintains strong performance, making it a cost-effective choice for developers. The model's design focuses on spending more time "thinking" through problems, which enhances its problem-solving capabilities.

Cons

  • While o1-mini is efficient, its smaller size means it may not have the broad world knowledge that larger models possess. Additionally, it might require some fine-tuning to align with specific project needs.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

OpenAI
Founded: 2015
United States
openai.com

Company Information

Google
Founded: 1998
United States
research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/

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Kimi K2

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Qwen-7B

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Alibaba

Categories

Categories

Integrations

C++
ChatGPT Enterprise
ChatGPT Pro
Cody
DataChain
EXAONE Deep
Elixir
Fynix
HTML
JavaScript
Julia
OmniGPT
OpenAI deep research
R
Requesty
Revere
Ruby
Sider
WriteFastly

Integrations

C++
ChatGPT Enterprise
ChatGPT Pro
Cody
DataChain
EXAONE Deep
Elixir
Fynix
HTML
JavaScript
Julia
OmniGPT
OpenAI deep research
R
Requesty
Revere
Ruby
Sider
WriteFastly
Claim OpenAI o1-mini and update features and information
Claim OpenAI o1-mini and update features and information
Claim TimesFM-3 and update features and information
Claim TimesFM-3 and update features and information