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support

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Description

We are excited to announce the launch of our X1 large series of models. The most robust model from Giga ML is now accessible for both pre-training and fine-tuning in an on-premises environment. Thanks to our compatibility with Open AI, existing integrations with tools like long chain, llama-index, and others function effortlessly. You can also proceed with pre-training LLMs using specialized data sources such as industry-specific documents or company files. The landscape of large language models (LLMs) is rapidly evolving, creating incredible opportunities for advancements in natural language processing across multiple fields. Despite this growth, several significant challenges persist in the industry. At Giga ML, we are thrilled to introduce the X1 Large 32k model, an innovative on-premise LLM solution designed specifically to tackle these pressing challenges, ensuring that organizations can harness the full potential of LLMs effectively. With this launch, we aim to empower businesses to elevate their language processing capabilities.

Description

Harness the capabilities of tailored models to gain a strategic edge in your market. With our advanced enterprise Gen AI framework, you can surpass conventional limits and delegate repetitive tasks to robust assistants in real time – the possibilities are endless. For businesses that prioritize data protection, customize and implement generative AI solutions within your own secure cloud environment, ensuring safety and confidentiality at every step.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

GPT-4 Yes 
Amazon Web Services (AWS) No 
Azure OpenAI Service No 
Codestral No 
GPT-4o mini No 
Gemini Enterprise Agent Platform No 
Hugging Face No 
Kamsa No 
Llama 3.1 No 
Llama 3.2 No 
Microsoft Dynamics 365 No 
Microsoft Entra ID No 
Microsoft Fabric No 
Microsoft OneDrive No 
Ministral 3B No 
Mistral AI No 
Mistral NeMo No 
Oracle Fusion Cloud ERP No 
Weights & Biases No 

Integrations

GPT-4 Yes 
Amazon Web Services (AWS) Yes 
Azure OpenAI Service Yes 
Codestral Yes 
GPT-4o mini Yes 
Gemini Enterprise Agent Platform Yes 
Hugging Face Yes 
Kamsa Yes 
Llama 3.1 Yes 
Llama 3.2 Yes 
Microsoft Dynamics 365 Yes 
Microsoft Entra ID Yes 
Microsoft Fabric Yes 
Microsoft OneDrive Yes 
Ministral 3B Yes 
Mistral AI Yes 
Mistral NeMo Yes 
Oracle Fusion Cloud ERP Yes 
Weights & Biases Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Giga ML

Website

gigaml.com

Vendor Details

Company Name

NimbleBox

Founded

2018

Country

United States

Website

tunehq.ai

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Natural Language Generation

Business Intelligence No 
CRM Data Analysis and Reports No 
Chatbot No 
Email Marketing No 
Financial Reporting No 
Multiple Language Support No 
SEO No 
Web Content No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

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