LLM & NLP Solutions

Revolutionizing Natural Language Processing Tasks to Produce Meaningful Data

Our AI experts, proficient and experienced in ML and NLP technologies, specialize in building domain-specific Large Language Models (LLMs) to cater to your company’s proprietary data.

Discover Comprehensive Suite of AI-Enabled Large Language Models.

  • Autoregressive language models

    Determines the most logical next word or phrase to add to a sequence using historical text data and previous text inputs.

  • Transformer-Based Models

    Process and generate text effectively, capturing long-range dependencies and contextual information.

  • Encoder-Decoder Models

    Create a fixed-length representation out of the input data that the decoder will use to create the output sequence.

  • Multilingual Models

    Receiving text in various languages, processing it, and producing text in various languages.

  • Pre-Trained and Fine-Tuned Models

    Adopting large language models with pre-training to comprehend language and semantics broadly. Using smaller task-specific datasets, these pre-trained models can then be refined for use in particular tasks or domains.

  • Hybrid Models

    Incorporated into LLMs to record sequential dependencies and combine various architectures for better performance.

Navigate the Journey: Learn the Step-by-Step Insights

  • Data collection

    Gathering information for model quality assessment and training (if fine-tuning).

  • Tokenization

    Dividing the input and output texts into manageable chunks that the LLM AI models can process.

  • Pre-Training

    Process of training a model on a large corpus of text, helping the model to learn the structure of the language and grammar.

  • Transformer architecture

    Captures contextual relationships, which enables LLMs to comprehend and produce text.

  • Fine-Tuning

    With the help of a sizable new dataset, an LLM segment is retrained while being more closely tailored to the requirements of a given task.

  • Inference

    Iteratively predicts the following token in a sequence to produce text outputs in response to an input prompt.

  • Contextual understanding

    Accurately assess the nuances of a question and offer responses that are appropriate for the situation.

  • Beem search

    Find the most likely sequence of words given a set of input tokens.

  • Response Generation

    Rephrase your canned responses while considering the conversation's context.

Natural language processing (NLP)

Leverage AI-based NLP capabilities for information extraction and converting your unstructured data into actionable insights.

Our team of AI-based NLP specialists will collaborate closely with you to figure out your unique needs and create a solution that is especially suitable for your company. We are confident that we can help you yield the expected outcomes you want because we have a track record of creating successful NLP solutions for companies in a variety of industries.

Hire Our AI-enabled NLP services to eliminate complexity and process documents efficiently and quickly.

Turning Natural Language Processing (NLP) into a High-Quality Dataset for Machine Learning

  • Text Understanding

    Understanding the context, entities, relationships, and sentiments from textual data through analysis and meaning extraction.

  • Speech Recognition

    Transforming spoken language into text so that it can be processed by computers.

  • Language Generation

    Generating text or speech that sounds human-like by using input or specific patterns; is frequently used in chatbots, language translation, and text summarization.

  • Machine Translation

    Facilitates cross-language communication while translating text or speech from one language to another.

  • Sentiment Analysis

    Figuring out whether a text is expressing a positive, negative, or neutral sentiment or emotion.

  • Named Entity Recognition (NER)

    Recognising and classifying particular things mentioned in the text, such as names, businesses, places, etc.

  • Topic Modeling

    Helping with content categorization and analysis by locating topics or themes within a collection of documents or text.

  • Summarization

    Creating a succinct summary of a longer text that highlights its key ideas and pertinent details.

  • Question-Answering Systems

    Developing tools that can comprehend questions posed in natural language and respond with relevant data.

  • Chatbots and Conversational Agents

    Building interactive systems capable of carrying on human-like conversations, offering knowledge, assistance, or support.

Looking To Gain Market Leverage Across Natural Language Processing (NLP) Projects?

Partner With World-Class NLP experts and streamline your business processes.

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