Generative AI
In the evolving realm of artificial intelligence, Generative AI stands as a beacon of innovation, unlocking potential previously considered the stuff of science fiction.
Benefits
- At Avkalan.ai, we harness the transformative power of generative models, ushering in an era of dynamic content creation, intuitive conversational agents, and bespoke AI solutions tailored to unique business needs
- As AI continues to shape the future, our commitment is to ensure that businesses are not just participants, but pioneers in this journey
- Dive into our comprehensive suite of Generative AI services and discover how we’re crafting the next frontier of digital intelligence.
How Can We Help ?
RAG (LangChain, LlamaIndex)
Retrieval-Augmented Generation (RAG), which is a technique in the field of natural language processing (NLP) and machine learning, combines the strengths of both retrieval-based and generative AI models to drive intelligent solutions. We understand its nuances and helping enterprises to define next gen solutions using RAG.
LLMs Selection
Choose the right foundation for your AI needs. Our expertise in Large Language Models (LLMs) ensures you select the most suitable model for your specific application, maximizing efficiency and effectiveness.
LLMs Model Fine-tuning
Retrieval-Augmented Generation (RAG), which is a technique in the field of natural language processing (NLP) and machine learning, combines the strengths of both retrieval-based and generative AI models to drive intelligent solutions. We understand its nuances and helping enterprises to define next gen solutions using RAG.
RAG (LangChain, LlamaIndex)
Retrieval-Augmented Generation (RAG), which is a technique in the field of natural language processing (NLP) and machine learning, combines the strengths of both retrieval-based and generative AI models to drive intelligent solutions. We understand its nuances and helping enterprises to define next gen solutions using RAG.
LLMs Selection
Choose the right foundation for your AI needs. Our expertise in Large Language Models (LLMs) ensures you select the most suitable model for your specific application, maximizing efficiency and effectiveness.
LLMs Model Fine-tuning
Retrieval-Augmented Generation (RAG), which is a technique in the field of natural language processing (NLP) and machine learning, combines the strengths of both retrieval-based and generative AI models to drive intelligent solutions. We understand its nuances and helping enterprises to define next gen solutions using RAG.
Prompt Engineering
Optimise your interactions with generative models. Our prompt engineering techniques ensure that your queries yield the most relevant, coherent, and contextually apt responses from the AI.
Prompt Engineering
Optimise your interactions with generative models. Our prompt engineering techniques ensure that your queries yield the most relevant, coherent, and contextually apt responses from the AI.
LLM Architecture
Harness the power of language models to derive value with the help of contextualised RAG (Retrieval Augmented Generation). Our expertise in LangChain development ensures transparent, traceable, and secure deployments of generative AI applications.
Validation / Guardrails
Safeguard your generative AI from unintended outputs. Our validation and guardrail mechanisms ensure that AI responses remain within defined boundaries, minimising risks and ensuring consistent quality.
LLM Architecture
Harness the power of language models to derive value with the help of contextualised RAG (Retrieval Augmented Generation). Our expertise in LangChain development ensures transparent, traceable, and secure deployments of generative AI applications.
Validation / Guardrails
Safeguard your generative AI from unintended outputs. Our validation and guardrail mechanisms ensure that AI responses remain within defined boundaries, minimising risks and ensuring consistent quality.
Our Methodology
Discovery
- Understand business priorities and pain points.
- Identify AI opportunities that align with business objectives.
- Assess Data landscape with infrastructure and technical capabilities.
- Pilot low-cost, small features for feasibility assessment.
Planning
- Evaluate AI solutions based on available data and infrastructure.
- Assess potential benefits, risks and limitations.
- Cost-benefit analysis
Execution
- Design and Develop AI models using SOTA techniques and frameworks.
- Ethical / Regulatory assessments for conformity.
- Ethical / Regulatory assessments for conformity.
Monitoring
- Deploy AI solutions in a controlled environment.
- Implement monitoring systems to track model performance and data drift.
- Address potential issues promptly and proactively.
Engagement Model
Staff Augmentation
- Seamless Integration: We seamlessly integrate skilled professionals into your team.
- Short-Term Resource Boost: Ideal for temporary projects, eliminating the need for full-time hires.
- Cost-Effective Expertise: Efficiently manage costs while accessing proven expertise and filling skill gaps.
F2B Project Execution
- Project Ownership: We assume full responsibility for specific projects, complete with predefined budgets and timelines.
- Crystal-Clear Scope: Project scopes, timelines, and milestones are precisely defined upfront.
- Budget Precision: Ideally suited for projects with well-understood requirements and fixed budgets.
Managed Service
- Holistic IT Management: Delegate the management of specific IT functions or your entire IT environment to us.
- Diverse Service Spectrum: Our services span infrastructure management, cybersecurity, and software updates.
- Financial Predictability: Enjoy consistent, predictable monthly costs, enabling you to focus on core business operations.