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LLM and Gen AI

LLM and Gen AI Development

Conversations with Impossibility: Unleashing Business Use Cases Beyond Text, Images, Videos.

Language-driven innovation is the next big thing. It empowers enterprises to get rid of data complexity & learning curve involved in queries. Simply ask the questions in your words and let gen AI & LLM do magic. Our LLM consulting & Gen AI development services are designed to empower enterprises with both public & tailored-made models to craft compelling narratives, automate tasks, and create seamless conversational experiences on top of your proprietary data.

Gen AI Redefining the Next Big Across Industries.

This new dimension of AI, called Generative AI is captivating everyone with its capability to go beyond pre-defined rules and answer your most difficult questions by analyzing the company’s database. If you have the vision to explore its endless possibilities by unearthing its core and peeling its layers, you are most likely to find three major Gen AI use cases regardless of the industries which are, Customer Experience Offerings, Enterprise Knowledge Offerings, and Process Optimizer.

1. Customer Experience Offerings

81% of organizations already consider Customer Experience (CX) a crucial competitive differentiator. However, when it comes to implementing a unique CX strategy, many struggle with the adoption rate of self-service options. Traditional chatbots, which operate on predefined decision trees, often fail to adapt to the individual personas of users, hindering the realization of hyper-personalization at the user’s end. This limitation can result in frustrating experiences for customers. With the emergence of Generative AI, organizations are presented with a realm of possibilities, unconstrained by rules. Unlike traditional chatbots used primarily for self-service initiates , Gen AI-powered conversational chatbots possess the capability to generate responses that are not explicitly programmed. They excel in producing creative and contextually relevant responses, seamlessly adjusting to the conversation’s context and the user’s preferences in real-time. This adaptability makes Generative AI chatbots proficient in handling intricate conversations, tackling ambiguous queries, and navigating scenarios without predetermined responses, ultimately culminating in a more immersive and personalized user experience.

Strategic Alliances Between Tech & Non-Tech.

HRTech ↗️

Employee Experience Redefined

FinTech ↗️

Assisting Those Not Sure of Next

Retail ↗️

Retail Reinvented With Trust & Speed

2. Enterprise Knowledge Offerings

Enterprises have data and data contains knowledge which has emerged as the most potent asset driving innovation, efficiency, and competitiveness. However, it’s an uphill battle for enterprises to turn data sources into knowledge powerhouse. Because, data are fragmented pieces and knowledge is castle built using those same pieces. And if they do it anyhow leveraging Enterprise Knowledge System, the next biggest problem lies ahead to them is the easy retrieval of insights from knowledge base. However, with the advent of “Gen AI,” a new era of Enterprise Knowledge Offering emerges, promising unprecedented levels of intelligence, adaptability, autonomy, and most importantly semantic search capabilities. Gen AI not only categorizes and tags this information but also identifies implicit relationships and hierarchies, creating a unified and structured knowledge repository. One of the defining features of Gen AI is their ability to understand contextual nuances. Through sophisticated NLP and deep learning techniques, these systems comprehend the intent behind user queries, taking into account factors such as user roles, preferences, and past interactions. This enables them to provide tailored responses, recommendations, and insights, empowering users to make informed decisions more efficiently. Beyond this, it makes possible to create reports from the data, knowledge and insights it has and summarize it.

Powering Agile Decision-Making Across All Levels.

HRTech ↗️

HR Data Silos, Eliminated

FinTech ↗️

Your Ally in Driving Financial Innovation

Retail ↗️

Giving Retail a Touch of Wisdom

3. Process Optimizer

Optimizing processes is paramount for maximizing efficiency, minimizing costs, and enhancing overall productivity. However, traditional process optimization efforts often encounter challenges in harnessing the full potential of data, knowledge, and insights scattered across the organization. This is where Gen AI emerges as a game-changer. Leveraging advanced machine learning algorithms, Gen AI analyzes historical performance metrics, identifies bottlenecks, and uncovers optimization opportunities within existing processes. Moreover, Gen AI revolutionizes document processing by employing advanced natural language processing (NLP) and computer vision techniques to extract actionable insights from unstructured data sources. Furthermore, Gen AI enables stakeholders to gain deeper visibility into process performance, anticipate future trends, and identify optimization opportunities proactively. Moreover, Gen AI facilitates scenario analysis and “what-if” simulations, allowing organizations to evaluate the potential impact of different strategies.

Replacing Accuracy with Craftsmanship.

HRTech ↗️

Precision-Tuning HR Workflows

FinTech ↗️

Sculpting Agile FinTech Processes

Retail ↗️

Overdone Retail Operations, Fixed

Our LLM and Gen AI Development Services.

Gen AI Models Design
Tailoring specialized models
for ultra-specific use scenarios
Gen AI Integrations
Unlock the new dimensions for your
product with Gen AI Integration
Gen AI Data Architectures
Gen AI Audits & Maintenance
Gen AI Model Deployment

1. Gen AI Models Design.

Neural Network Architectures

Domain-Specific Models

Models Pre-Training & Fine-tuning

Model Evolution & Optimization

2. Gen AI Integrations.

Generative AI Custom Integration

Data Preparation & Integration

GenAI Integration Into Workflows

API-based Model Integration

3. Gen AI Data Architectures.

Data Annotation & Labelling

Model Training Pipelines

Data Bias Mitigation

Data Governance Framework

4. Gen AI Audits & Maintenance.

Model Version Control

Model Evolution and Optimization

Security & Compliance Audits

Model Performance Metrics

5. Gen AI Model Deployment.

Generative AI – ModelOps

Models Deployment Pipelines

Models Monitoring & Governance

Continuous Model Validation

LLM Models We Work With as Part of Our Gen AI Development Services.

GPT-3.5.
GPT 3.5
GPT 3.5, the trailblazer of AI language models, continues to inspire and innovate with its remarkable ability to understand and generate human-like text.
GPT-4
GPT-4
Where GPT 3.5 left off, GPT-4 takes the next giant leap in AI language generation, pushing the boundaries of text-based AI even further.
Bard
BARD
Google’s experimental conversational AI service powered by LaMDA. It fetches data from the web to offer fresh, high-quality responses.
LLaMA 2
LLaMA 2
Staight from Meta, It’s next generation of open source large language model, trained on 40% more data than LLaMA 1. It is fine-tuned for dialog, called LLaMA-2 Chat.
PaLM 2
PaLM 2
Targeting advanced reasoning tasks, including code and math, classification and question answering,  it was launched by Google. Google claims it to be bias-free.
OpenAI-DaLL.E
DALL.E 2

It is text-to-image models developed by OpenAI using deep learning methodologies. It lets users create real images with input given in English.

Our RESPONSIBLE AI Framework for Gen AI Development.

HTML Table Generator
RESPONSIBLE AI
Measures 
Risk Assessment Comprehensive Risk Profiling
Risk Mitigation Strategies
Periodic Risk Reviews
Documentation and Compliance 
Explainability Model Transparency
Interpretability Tools
User-Friendly Interfaces
Explainability Training
SustainabilityEnvironmental Impact Assessment
Long-term Planning
Green Data Centers
Sustainability Reporting 
Public Engagement Stakeholder Feedback Channels
Ethical Advisory Boards
Ethics Hotlines
Transparency Initiatives 
Open SourceOpen Source Contributions
Public Code Repositories
Open Data Initiatives
Partnerships
Norms and StandardsCompliance Frameworks
Internal Ethical Guidelines
Third-Party Audits
Continuous Monitoring 
Self-AssessmentEthical Self-Assessment
Compliance Audits
Feedback Mechanisms
Documentation and Remediation 
Impact Evaluation User Feedback Analysis
Long-term Outcome Assessment
Performance Metrics
Adaptive Improvements 
Bias MitigationBias Identification
Bias Mitigation Strategies
Diverse Data Collection
Bias Auditing 
Legal SafeguardsData Protection Compliance
Ethical Use Agreements
Intellectual Property Protection
Data Security Protocols  
Education and TrainingInternal Training Programs
Certifications 
Ethical AI Resources
Collaborative Workshops 
Harness the Ability to Change & Evolve.

Algorithms and Neural Networks.

Transformer
Networks
Generative Adversarial
Networks (GANs)
Variational
Autoencoders (VAEs)
Diffusion
Models
Autoregressive
Models
Neural Style
Transfer (NST)
DiscoGAN
StyleGAN
Reinforcement Learning
from Human Feedback
Reinforcement Learning
from AI Feedback
Retrieval Augmented
Generation (RAG)
Proximal Policy
Optimization (PPO)

Meet the Team Behind Our LLM Development and Gen AI Consulting Services.

Our Team
AI Researchers &
Scientists
AI Ethics
Experts
Data Scientists &
Engineers
QA
Engineers
Technical
Architects
DevOps
Engineers
Value We Provide
  • AI-First Strategy
  • Adaptive AI Solutions
  • AI-Powered Personalization
  • AI Security and Trust
  • AI-Enabled Sustainability
  • Parallel Engineering
  • Agile AI Development
  • Zero AI Bias

Our Gen AI Development Process.

1

Objectives
and Scope
  • Business Goals Identification
  • Data Assessment
  • Stakeholder Engagement
  •  Scope Definition

2

Data Preparation
& Preprocessing
  • Data Collection
  • Data Cleaning
  • Data Transformation
  • Data Labeling

3

Model Development
and Training
  • Algorithm Selection
  • Model Training
  • Hyperparameter Tuning
  • Validation and Testing

4

Deployment
and Monitoring
  • Integration with Systems
  • Deployment Testing
  • Continuous Monitoring
  • Feedback Loop

Check Out Our Recent Engagement With Generative AI.

Other Areas Where You Can Harness the Power of Our Generative AI Development Services.

Text and Language Processing:

  • Text Summarization
  • Knowledge Base Enhancement
  • Language Translation and Localization
  • Language Understanding for Multilingual Applications
  • Content Moderation and Safety
  • Automated Writing and Content Generation
  • Script and Screenplay Writing
  • Semantic Search and Question Answering
  • Concept Extraction and Entity Recognition

Personalization and Recommendation:

  • Recommendation Systems for Any Content Type
  • Dynamic Content Personalization
  • Customer Feedback Analysis

Marketing and Advertising:

  • Ad Copywriting
  • Dynamic Product Descriptions
  • Personalized Email Campaigns
  • A/B Testing Content
  • Content Localization

Data Generation and Enhancement:

  • Data Cleansing and Standardization
  • Quality Control and Anomaly Detection
  • Competitive Intelligence
  • Data Exploration and Visualization
  • Content Auditing and Compliance
  • Email Classification and Filtering

Customer Service:

  • Sentiment Analysis
  • Voice of the Customer (VoC) Analysis

Image and Video Generation:

  • Artistic Style Transfer
  • Video Game Asset Generation
  • Custom Avatars and Characters
  • Video Content Enhancement

Entertainment and Creative Content:

  • Music Composition
  • Interactive Storytelling
  • Character and World Building

Frequently Asked Questions (FAQ's)

Still have Questions?

Top FAQs Around Our Generative AI Development Services.

Generative AI opens up innovative possibilities for content creation, automation, and problem-solving. It can be applied across various domains, from artistic expression to generating realistic data for training machine learning models.

Yes, we specialize in developing custom Generative AI models based on your unique requirements. Whether it’s image synthesis, text generation, or other applications, we can design models that align with your business objectives.

Ethical considerations and bias mitigation are integral parts of our development process. We follow best practices to identify and address biases during training, and we prioritize transparency in the use and deployment of Generative AI models.

The suitability of data depends on the specific application. For image generation, labeled image datasets are common, while for text generation, large and diverse text corpora are utilized. We work with you to identify and acquire relevant training data.

Yes, we can integrate Generative AI models into existing software systems. Whether you have a web application, mobile app, or other software, we design solutions that seamlessly incorporate generative capabilities.

We take confidentiality seriously and have our robust framework called DASTAC in place to secure your project data. Our consultants sign non-disclosure agreements, and we follow industry-standard security practices to safeguard your sensitive information.