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Large Language Model Development and Consulting

Maximize automation and reduce operational costs with our expertise in large language model (LLM) development

Benefits of On-Premise and Private-Cloud LLM Models

We deploy language models locally to keep your proprietary data secure.
  • Strong Security

    We help you keep a tight rein on your data storage and security by using our custom solutions built on language models that can be deployed on-premise and on private clouds exclusively.

  • Custom Functionality

    Our developers adjust foundational models to match your unique business and functional needs and improve the accuracy of outputs by training large language models on your custom dataset.

Large Language Models Use Cases

Gain a competitive advantage in the market by being AI-first.
  • Chatbots and Virtual Assistants
    Move from generic bot interactions to personalized messaging, automate upselling, and create edgy, digital avatar experiences that guide your customers through the purchase.
  • Content Generation
    Offset the tedium of content creation, generate product descriptions in seconds, and craft coherent and complex text with a human touch for your marketing and sales initiatives.
  • Translation and Language Services
    Expand your business reach to multiple geographies, translate and analyze large volumes of business documents, and operate in a global arena with confidence.
  • Personalized Recommendations
    Increase sales and customer loyalty by creating a tailored shopping experience that meets the customer's individual needs and iterates on customer data.
  • Text Analysis
    Create fluent summaries, analyze large volumes of text data, identify hidden patterns and trends, and hit on business insights that could be useful for decision-making.
  • Educational Tools
    Pave the way for interactive and engaging learning, automate the creation of learning materials, and analyze data on student performance at scale.
  • Script Writing
    Use LLMs as a creative writing partner, generate starting points for creative concepts and new scripts, and iterate ideas with unmatched speed.
  • Chatbots and Virtual Assistants
  • Content Generation
  • Translation and Language Services
  • Personalized Recommendations
  • Text Analysis
  • Educational Tools
  • Script Writing
Enhance your business with top-notch technology!

Build a Custom LLM Model for Your Industry

Our generative AI company delivers custom models rooted in AI expertise & years of cross-domain expertise.

Our Expertise in Large Language Model Development

We provide a broad spectrum of LLM Large Language Model services that meet your needs at scale.

Strategy and Consulting

We help you get a better handle on your business vision and chalk out a step-by-step strategy for the adoption of language models. Our experts define a use case, assess your proprietary data, and provide actionable recommendations on the tech infrastructure.

  • Business case analysis
  • Proof of Concept
  • Overview of proprietary data
  • Project estimation and roadmap

LLM Development

Our engineers build custom LLM models on top of GPT, DALL.E2, and other foundation models and make them a native part of your tech ecosystem. Our NLP, machine learning, and data science experts help tailor the model to your specific business needs.

  • User workflow development
  • Custom solutions development
  • Dataset preparation
  • LLM integration

Fine-Tuning

We customize off-the-shelf LLM language models with your data to maximize the value of base models for your business. Our machine learning engineers fine-tune them to your unique business needs, improve accuracy rates, and make the model more efficient.

  • Large language model fine-tuning
  • API integration
  • Data architecture modernization
  • Large language model automation

Support and Maintenance

Our support team keeps a close watch on your language learning model, making sure its performance is up to par.
From model optimization to troubleshooting, our generative AI company is there for you 24/7, perfecting, enhancing, and evolving your AI solutions.

  • Model monitoring
  • Model updates
  • Data retraining pipeline
  • Risk management and compliance.
Ready to start your LLM project?
Turn your business idea into a full-fledged solution and ensure high ROIs from language modeling projects.

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Seize the Distinctive Benefits of Large Language Learning Models

We help you get your arms around the value of LLMs in corporate settings.
  • dollar increase

    Increase Revenue

    Make your customers feel heard and increase sales with the unlimited potential of LLMs. Custom-built AI software streamlines customer support, generates tailored recommendations, and analyzes your customers, while you can focus on growing your business.
  • Reduced Costs

    Reduce Operational Costs

    Cut costs by automating tasks that require human labor. From customer experience services to admin tasks, our custom LLM solutions do the heavy lifting of business management and optimize your operations across sales, marketing, customer service, and more.
  • Improved Visibility

    Find Growth Opportunities

    From sentiment analysis to upselling, a custom large language model unlocks novel use cases for your business based on real-time conversation data. LLMs cast their nets wide to customer data, external market trends, and social media data to power your decision-making.
  • recommendation engine

    Strengthen Your Tech Core

    Embed Large Language Learning Models into your applications to ramp up their throughput and enable conversational search.
    With LLMs, you can request specific outputs from applications, make the most out of your data, and keep up with increasing workloads.

Integrating Large Language Learning Models, Friction-Free

Our developers seamlessly weave conversational AI into your infrastructure.

Our Stack of Large Language Learning Models

We work with a variety of models to develop a robust solution your business needs.
  • openAI
  • llama 2
  • incite-redpijama
  • stablelm
  • eleuther ai
  • hugging face
  • palm2
  • pythia
  • flan-t5
  • crm-ant
  • flan-ul2
  • nvidia
  • pangu

Our Broad Expertise Meets Your Needs at Scale

Our cross-functional teams help you overcome the complexity of LLM development.
  • Machine Learning

    Machine Learning

    Our developers push the boundaries of generative AI and create innovative solutions with machine learning. Be it predictive analytics or model training, we supplement your models with all the AI features your business needs.
  • Natural Language Processing

    Natural Language Processing

    Drawing on our decade years of experience, we help your applications mine data across formats and platforms to unearth hidden insights. Our developers adapt your sentiment analysis and customer analysis applications where it truly matters.
  • Cloud Computing

    Cloud Computing

    Our cloud engineers make sure you have the right tech infrastructure and operating model to embrace the benefits of language models and AI. When needed, we perform a full-scale cloud migration or optimize your existing cloud resources.
  • Data Engineering

    Data Engineering

    We rethink your business model with data at its core and set the right data practices in place to give you a long-term platform for AI innovation. Build the foundation for change and stay prepared for future transformations.

Why InData Labs?

As one of the leading AI companies, we help you leverage the power of LLMs in your web and mobile applications.
  • AI

    Experience You Can Trust

    Over 150 global companies have chosen us to deliver AI solutions at scale – and the results speak for themselves.
  • icon five stars

    Speed-To-Market

    We owe our immaculate delivery record to calibrated processes and a mature product development approach.
  • Highly Experienced Team

    High-Grade Solutions

    No matter the challenge, our team of 80+ developers finds an optimal solution that propels your business to new heights.

Trusted by Innovative Companies

Let Our Clients Do the Talking

Customer Success

Marketing Analytics Solution

Marketing Analytics Solution

Our engineers have delivered a large-scale system for user data analysis, web page prioritization, and semantic analysis for a global digital ad platform.

The solution is compliant with all major data regulations, analyzes segmentation data, and enhances ad campaign performance for users.

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Customer Data Analytics System

Customer Data Analytics System

We delivered this project for a US-based FMCG company. The client was looking for custom text analysis software to extract insights from audio and email data.

Using our deep NLP expertise, the InData Labs team set up an ongoing data analysis pipeline for insights gleaning that makes sense of unstructured customer data.

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Customer Review Analytics Solution for E-commerce

Feedback Sentiment Analysis Solution

Our Client wanted to improve their services and increase customer loyalty by analyzing real-time customer feedback.

Our team designed and built tailored AI-based sentiment analysis software that relies on neural networks and machine learning algorithms.

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Predictive Analytics Module for Finance

Predictive Analytics Module for Finance

A debt collection agency approached InData Labs to build a smart solution that predicts loan repayment.

We executed the business vision of our client and delivered a predictive analytics module that increased revenue 2x times due to improved customer segmentation.

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FAQ

  • A large language model is a type of artificial intelligence that relies on a wide range of NLP, deep learning, and ML algorithms to understand the structure of the language. It is trained on a very large dataset to generate accurate responses and catch up with conversations.

    Large language models have been shown to outperform traditional models on a variety of tasks, including machine translation, question answering, and sentiment analysis. Also, unlike traditional chatbots and virtual assistants, LLMs can come in handy for a variety of tasks, including text generation, image captioning, summarization, and other large language models use cases.

  • Large language models examples include the GPT model which is trained on a dataset of 570 GB and fine-tuned for a variety of language tasks, such as translation, summarization, and question-answering. The model is 175 billion parameters in size, which makes it the largest language model ever trained.

    Megatron is another example of a large, powerful transformer with 11 billion parameters. Our team also works with OpenLLaMA, StableLM, PaL, and other major conversational AI solutions. We select the right LLM that suits your business needs and workloads.

  • A large language model is created by training a neural network on a large corpus of text. The neural network learns to predict the next word in a sequence, based on the previous words in the sequence. The more parameters the mode has, the more capable it is, and the more training data it needs to score a high accuracy rate.

    Unlike traditional AI software, LLMs are general purpose and can be fine-tuned to match the specific needs of a given business. From sentiment analysis to content generation to granular recommendations, language models can support business operations across multiple areas.

  • GPT is one of the most popular language models that is based on the combination of NLP, reinforcement learning, neural networks, and other innovative technologies. This ready-made model can be integrated into applications or customized on proprietary datasets through fine-tuning.

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