ERNIE 4.5

ERNIE 4.5

Baidu
TimesFM-3

TimesFM-3

Google
+
+

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About

ERNIE 4.5 is a cutting-edge conversational AI platform developed by Baidu, leveraging advanced natural language processing (NLP) models to enable highly sophisticated human-like interactions. The platform is part of Baidu’s ERNIE (Enhanced Representation through Knowledge Integration) series, which integrates multimodal capabilities, including text, image, and voice. ERNIE 4.5 enhances the ability of AI models to understand complex context and deliver more accurate, nuanced responses, making it suitable for various applications, from customer service and virtual assistants to content creation and enterprise-level automation.

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

Businesses and developers seeking advanced AI solutions for customer interaction, content generation, and process automation.

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

$0.55 per 1M tokens
Input: $0.55 per 1 million tokens
Output: $2.2 per 1 million tokens
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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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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:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Baidu
Founded: 2000
China
ernie.baidu.com

Company Information

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

Alternatives

DeepSeek R1

DeepSeek R1

DeepSeek

Alternatives

CodeQwen

CodeQwen

Alibaba
ERNIE 5.0

ERNIE 5.0

Baidu
Kimi K2

Kimi K2

Moonshot AI
ERNIE X1

ERNIE X1

Baidu
Qwen-7B

Qwen-7B

Alibaba

Categories

Categories

Integrations

C
C#
CSS
Clojure
ERNIE Bot
ERNIE X1
ERNIE X1.1
Elixir
F#
Go
HTML
JavaScript
Julia
Kotlin
PHP
R
Ruby
Rust
Scala
Visual Basic

Integrations

C
C#
CSS
Clojure
ERNIE Bot
ERNIE X1
ERNIE X1.1
Elixir
F#
Go
HTML
JavaScript
Julia
Kotlin
PHP
R
Ruby
Rust
Scala
Visual Basic
Claim ERNIE 4.5 and update features and information
Claim ERNIE 4.5 and update features and information
Claim TimesFM-3 and update features and information
Claim TimesFM-3 and update features and information