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We build LLM-powered apps with the right skills and custom services to deliver efficiency, scalability, and innovation.
We use AI to pre-train and fine-tune large language models (LLMs) with industry-specific data, creating context-aware models that help businesses automate processes.
Build custom NLP models with tools like TensorFlow, NLTK, and spaCy to extract insights from search data, web content, records, and audio for predictive analysis.
We use ML tools like Scikit-learn, PyTorch, TensorFlow, and Caffe to build advanced solutions using all major learning methods. Their expertise ensures personalized machine learning results.
We preprocess and analyze text data using tools like VADER and NLTK, applying ML techniques like Naive Bayes to develop accurate, LLM-based sentiment analysis systems.
In-context learning enhances language model performance by adding relevant context during training. This improves the model’s understanding, reasoning, and problem-solving abilities.
Collecting large labeled datasets can be costly and time-consuming. Few-shot learning lets models learn from just a few examples, helping them handle new data with minimal training.
At Ailoitte, we bring deep technical expertise to large language model development. With strengths in the areas below, we deliver high-quality, efficient model solutions:
We start by understanding your unique needs and industry requirements. Using our NLP and ML expertise, we develop a private LLM strategy that aligns with your business objectives.
Integrate LLM technology seamlessly into your systems with our services. We ensure smooth deployment and configuration, empowering you to leverage LLMs without disruption.
We fine-tune LLMs like GPT, Llama, and PaLM for customized use in manufacturing, legal, and finance. Our models deliver precise, contextually relevant outputs for better decision-making.
Our skilled LLM developers create and deploy AI models that understand and generate human language. We build apps like chatbots, translation systems, and content tools, using GPT or BERT.
Our LLM experts build smart chatbots that engage customers and deliver human-like responses for better satisfaction. We leverage LLMs' NLP capabilities with frameworks like Rasa and Dialogflow.
Boost your LLM models' performance with our optimization services. We fine-tune parameters, optimize training algorithms, and implement best practices for improved accuracy and scalability.
We use ML-driven DL technologies to build smart BI systems that identify key insights. Our deep learning algorithms analyze complex data to uncover insights and deliver accurate results.
To assess the performance of LLMs and understand how they work in your environment, we test model outputs with real-world scenarios and benchmark datasets to ensure accuracy.
With Ailoitte's expert LLM development services, you can create transparent, fair, and ethically responsible models. We ensure compliance with all regulations, minimizing risks along the way.
We provide support and maintenance to ensure your LLMs function smoothly. We handle continuous monitoring, updates, bug fixes, and adaptations to evolving data and use cases.
At Ailoitte, we are dedicated to delivering high-performance language models backed by strict testing and validation. Our LLM models are built to meet the highest standards of accuracy, reliability, and efficiency. We value collaboration and transparency throughout the development process.
Ailoitte provides customized LLM development and integration solutions designed to meet the specific needs of small businesses, mid-sized companies, and large enterprises.
We provide affordable, easy-to-integrate LLM solutions that help small businesses boost productivity with AI chatbots, content generation, and automation, with no workflow disruption.
We provide scalable, flexible LLM solutions for growing businesses, combining customization and performance to improve customer engagement, automate workflows, and analyze data.
We deliver strong, secure LLM solutions for enterprises offering deep integration, fine-tuning, and compliance support for enterprise search, legal processing, and large-scale automation.
Our expert LLM developers have deep industry knowledge, allowing them to create models based on each client's specific sector.
We offer expert guidance on developing custom LLMs that align with business goals and create roadmaps showing how LLMs can enhance various functions.
We analyze large datasets to provide insights that help businesses make informed decisions, personalize experiences, and offer customer support.
Our LLM models learn from your data, adapt to new inputs, and automate tasks. They scale with business needs and support growth, making them future-ready.
We reduce costs by optimizing model efficiency through pruning, distillation, and quantization, improving performance, and cutting hardware expenses.
with your first StepOur AI Strategic Discovery Workshop gives your team the clarity, direction, and expert support needed to turn ambitious AI ideas into scalable, ROI-driven solutions.
Large Language Models (LLMs) are AI models trained on extensive datasets to produce human-like language outputs. They excel in tasks like generating text, translating languages, and improving machines' understanding of natural language.
Large Language Models are trained using unsupervised learning. They're served massive amounts of text and learn to predict the next word based on context. This training typically runs on high-performance computing systems.
Yes, large language models can be trained and fine-tuned according to specific tasks by training them on domain-specific datasets or labelled data. The fine-tuning process allows the models to be further refined and helps them adapt to specific contexts, making them more suitable for tasks such as sentiment analysis, entity recognition, and question answering.
Large Language Models are used in various applications, including chatbots, virtual assistants, content generation, language translation, sentiment analysis, recommendation systems, and text summarization. They also support research, writing, and data analysis.
Large language models use deep learning and neural networks to process and generate human-like text. They are trained on massive datasets, leveraging patterns, context, and semantics to understand and produce language. Key architectures like transformers allow LLMs to efficiently handle large-scale data and multiple tasks.
Yes, ChatGPT is a large language model developed by OpenAI. It is based on the GPT architecture and is designed to understand and generate conversational text. It excels in applications like chatbots, customer support, and content generation.
The development timeline varies based on the data size and complexity. Building and fine-tuning an LLM typically takes 4-12 months, including testing and deployment.
LLMs can streamline operations, automate customer interactions, and deliver personalized experiences. They are ideal for industries like healthcare, finance, and retail, helping businesses improve efficiency and enhance customer satisfaction.
The cost varies based on complexity, data needs, and customizations. On average, developing a custom LLM can range from $1,00,000 to $1 million, depending on the project scale and infrastructure.
Large Language Models need vast amounts of data and significant computational power for training. Biased data can lead to biased results, making outputs misleading or incorrect. Additionally, managing long-term context and ensuring consistent responses remain challenging.
ChatGPT is a specific Large Language Model (LLM) developed by OpenAI. While LLMs serve various tasks like sentiment analysis, legal research, and more, ChatGPT is designed for conversational purposes. LLMs, in general, have a broader range of applications beyond ChatGPT.
Choose Ailoitte for Large Language Model Development:
1. Skilled AI & LLM Experts
2. Competitive Pricing Models
3. Strong Focus on Data Security
4. Proven Success Across Industries
5. Commitment to Ethical AI Practices
6. Customized Solutions for Your Needs
7. Transparent & Timely Communication
8. Reliable & Responsive Support Team
We are the trusted catalyst helping global brands scale, innovate, and lead.
"It's fair to say that we didn’t just find a development company, but we found a team and that feeling for us is a bit unique. The experience we have here is on a whole new level."
“Ailoitte quickly understood our needs, built the right team, and delivered on time and budget. Highly recommended!”
Priyank Mehta
Head Of Product, Apna
"Ailoitte expertly analyzed every user journey and fixed technical gaps, bringing the app’s vision to life.”
Jitendra Dhaka
CEO, Banksathi
“Working with Ailoitte brought our vision to life through a beautifully designed, intuitive app.”
“Ailoitte brought Reveza to life with seamless AI, a user-friendly experience, and a 25% boost in engagement.”
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"Ailoitte understood our requirements immediately and built the team we wanted. On time and budget. Highly recommend working with them for a fruitful collaboration."
Head of product, Apna
IndiaFinTech
On paper, Banksathi had everything it took to make a profitable application. However, on the execution front, there were multiple loopholes - glitches in apps, modules not working, slow payment disbursement process, etc. Now to make the application as useful as it was on paper in a real world scenario, we had to take every user journey apart and identify the areas of concerns on a technical end.
CEO, Banksathi
IndiaHealthTech“Working with Ailoitte was a game-changer for us. They truly understood our vision of putting ‘Health in Your Hands’ and brought it to life through a beautifully designed, intuitive app. From user experience to performance, everything exceeded our expectations. Their team was proactive, skilled, and aligned with our mission every step of the way.”
Director, Dr.Morepen
IndiaRetailTech“Working with Ailoitte was a game-changer. Their team brought our vision for Reveza to life with seamless AI integration and a user-friendly experience that our clients love. We've seen a clear 25% boost in in-store engagement and loyalty. They truly understood our goals and delivered beyond expectations.”
Co-Founder, Reveza
IndiaHealthTech
“Ailoitte truly understood our vision for iPatientCare. Their team delivered a user-friendly, secure, and scalable EHR platform that improved our workflows and helped us deliver better care. We’re extremely happy with the results.”
CMO, iPatientCare
IndiaEduTech
"Working with Ailoitte was a game-changer for us. They truly understood our vision of putting ‘Health in Your Hands’ and brought it to life through a beautifully designed, intuitive app. From user experience to performance, everything exceeded our expectations. Their team was proactive, skilled, and aligned with our mission every step of the way."
Director, Dr. Morepen
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