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    Empowering Your Language Processing Needs
    With Our LLM Offerings

    Consulting & Strategy
    Formulation

    Get expert guidance and tailored solutions to harness the potential of large language models for your business-specific use cases. With the help of comprehensive interviews, feasibility studies, and infrastructure evaluations, we devise the best strategy for your project, ensuring it aligns perfectly with your business needs.

    Custom LLM Solution
    Development

    We specialize in tailoring LLMs to your specific use case, ensuring optimal performance and insightful outcomes. With custom pipelines based on data storage and seamless inference deployments, we deliver tailored solutions that streamline data processing, analysis workflows, and real-time applications.

    Delivering APPS
    Powered by LLM

    From chatbots and virtual assistants to text generation, language translation, and text summarization—our LLM-powered apps are built to meet the unique needs of your business. We handle every aspect of app development, from selecting the most suitable LLM model to training & fine-tuning it, thus ensuring optimal performance and accuracy.

    LLM Model
    Integration

    Whether you’re integrating an LLM model into a customer service platform or a content management system, we ensure a smooth and efficient integration process. Our experts help businesses leverage LLMs to enhance their system’s capabilities, improve language processing and understanding, and deliver more accurate and contextually relevant results.

    Support and
    Maintenance

    Ensure the smooth and reliable functioning of your NLP-based solutions with our comprehensive support and maintenance services for Large Language Models (LLMs). Our dedicated team can help monitor model functionality, optimize models for changing data and use cases, and troubleshoot any issues that may arise.

    Prompt
    Engineering

    Using advanced NLP & NLG techniques, our experts develop well-engineered prompts that generate more precise and context-aware responses. We also have expertise in tailoring prompts in various models, such as OpenAI, Imagen, Midjourney, and Stable Diffusion.

    Advanced LLM Technical Expertise: Transforming the Way We Interact with Languages


    Discover the Power of Retrieval Augmented
    Generation With LLM-Fueled Searchunify

    Integrating Salesforce
    Transform your customer support ecosystem by integrating
    LLM with intelligent SearchUnify features, empowering
    organizations with the following capabilities:
    • Enhanced Search Accuracy
    • AI-driven Data Insights
    • Enhanced Self-Service Experience
    • Accelerated Customer Support
    • Streamlined Workflow Efficiency
    • Intelligent Knowledge Management
    Learn More

    Key Use Cases & LLM-Powered Capabilities
    for Customer Support and Self-service

    LLM Integrations: Empowering Success Stories

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    Enhancing Agent Productivity with SearchUnify’s LLM-fueled Generative Question Answering
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    Integrating Salesforce Service Cloud with ChatGPT to Deliver Better CX
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    Summarizing Text From Learning Material
    Using ML

    Unlock the Power of Language
    with Our Cutting-Edge LLM
    Solutions!

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    Our Process: Value-driven AI Workflow

    In a typical flow, the development and hype of AI drives the scope and forecasted
    value of the feature/product. But here’s what a value-driven AI flow would look like –

    01

    Requirement Analysis

    Our experts thoroughly analyze clients’ requirements and objectives for the LLM model to ensure a comprehensive understanding.

    02

    Establish Ground Truth

    We then create a benchmark to define the desired expectations, ensuring a solid foundation for evaluation and comparison.

    03

    Establish Baseline

    Our experts develop a simple system with no intelligence to establish a starting point for comparison.

    04

    Pre-Process and Train

    With data preprocessing and training activities, we prepare the data to be fed into the model and enhance its performance by optimizing its parameters.

    05

    Evaluate LLM Models

    We assess intelligent systems against the established groundtruth and choose the one delivering the highest value.

    06

    Quality Assurance and Deployment

    Our development process includes thorough testing and validation of the LLM model to ensure it meets the highest quality standards before deployment.

    07

    Deliver LLM Model

    Our team successfully deploys the LLM model, ensuring seamless integration into the production environment.

    AI Models

    Summarization

    Summarization

    BART
    GPT 3.5
    GPT 3
    text-generation

    Text Generation

     BLOOM
    GPT 3.5
     GPT 3
     GPT 3
     ALPACA
     ALPACA
      LLaMA
    conversational-AI

    Conversational AI

     VICUNA
    KOALA
    GPT 3.5

    AI Models

    Summarization

    Summarization

    text-generation

    Text Generation

    conversational-AI

    Conversational AI

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    Inside Our Next-Generation LLM Development Stack


    Our experts use the best tech stack for developing impeccable LLM-based solutions to drive your business success.

    Algorithms

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    Supervised Learning

    Unsupervised Learning

    Reinforcement Learning

    Deep Learning

    RLHF

    Forecasting

    Ensemble Methods

    Part-of-Speech Tagging

    Named Entity Recognition

    Sentiment Analysis

    Language Modeling

    Programming Languages

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    Python

    Python

    Node

    Node

    Java

    Java

    Frameworks

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    Tensorflow

    Tensorflow

    Keras

    Keras

    PyTorch

    PyTorch

    Apache Singa

    Apache Singa

    MS-Cognitive-Toolkit

    MS Cognitive Toolkit

    Cloud Platforms

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    aws

    AWS

    azure

    Azure

    gcp

    GCP

    Neural Networks

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    CNN

    RNN

    Sequence-to-Sequence Models

    Integration & Deployment tools

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    TensorFlow Serving

    Torchserve

    Hugging Face Transformers

    TenserFlowjs

    Kubernetes

    Docker

    Deepspeed

    Ray framework

    Driving Success Across Industries With Our LLM Integrations

    Healthcare
    Finance
    High Tech
    Consumer
    Insurance
    Education
    Real Estate
    Information Security
    Support
    Logistics

    Why Choose Us?

    us-icon1
    1100+

    Customers Served

    us-icon2
    1200+

    Experienced Professionals

    us-icon3
    50+

    Integrations with
    Leading Platforms

    us-icon4
    800+

    Projects Completed

    Frequently Asked Questions

    1. What is a Large Language Model (LLM)?
    A Large Language Model (LLM) is a type of artificial intelligence model that uses deep learning techniques to process and generate human-like language. LLMs are trained on massive amounts of text data and can understand, generate, and manipulate written text.
    2. What measures are taken to address ethical concerns and prevent misuse of LLM models?
    Ethical considerations are paramount in LLM development. We prioritize ethical guidelines and policies that govern the use of LLM models. We ensure transparency, fairness, and accountability in model development and usage, and actively work to mitigate biases and prevent malicious applications.
    3. Are LLM models vulnerable to adversarial attacks or data poisoning?
    Adversarial attacks and data poisoning are potential security risks in machine learning models, including LLM models. To address these concerns, we employ robust security measures such as model testing, anomaly detection, and continuous monitoring to detect and mitigate potential threats.
    4. What are the applications of LLMs?
    LLMs have a wide range of applications, including natural language processing tasks such as text generation, language translation, sentiment analysis, content summarization, chatbots, virtual assistants, and more. They can be utilized in various industries like healthcare, finance, e-commerce, customer support, and content creation.
    5. How are LLMs trained?
    LLMs are trained using advanced machine learning techniques, typically involving large-scale datasets and powerful computational resources. The training process involves feeding the model with text inputs and optimizing its parameters to learn the underlying patterns and semantics of the language.
    6. Can LLMs be fine-tuned for specific use cases?
    Yes, LLMs can be fine-tuned on domain-specific data to improve their performance for specific use cases. Fine-tuning involves training the pre-trained LLM on a smaller dataset that is specific to the target application, enabling it to generate more accurate and contextually relevant outputs.
    7. Can LLM models handle sensitive or confidential data securely?
    LLM models can handle sensitive or confidential data securely by implementing appropriate data protection measures. This includes encryption, access controls, and secure transmission protocols. We, at Grazitti, ensure the highest level of data security and compliance when it comes to developing and deploying LLM models.

    Our Blog Section: AI Resource Center


    AI resource image

    The Early AI Adoption Advantage

    February 22, 2024

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    How AI is Reshaping the Healthcare...

    November 16, 2023

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    Building a Modern Retail Landscape With...

    November 16, 2023

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    Get in Touch

    Thank you for contacting us! We’ll be in touch shortly to discuss how our AI solutions can help your business. For immediate assistance, email us at [email protected]