Dexterity in the Top AI Models

We can build and integrate generative AI chatbots using your preferred AI model.

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ChatGPT 3.5 and 4  

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Google Dialog flow

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IBM Watson Assistant

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LLaMA

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PaLM 2

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Claude

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DALL.E

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Whisper

paints

Stable Diffusion

Our Generative AI Consulting Services

Some of Our Clients

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We build ML-powered AI chatbots that are powered by artificial intelligence, machine learning, and deep learning.

Customer Service Chatbot

Tech Stack for Generative AI Development

  • Languages – Python, Next.JS, React, Node.JS
  • DBMS – PostgreSQL, Milvus, Mongo DB
  • Frameworks and Tools – OpenAI, PyTorch, Django, NLP, FastAPI
  • Cloud - Google Cloud, AWS, Microsoft Azure, OCI AI
  • NLPs - IBM Watson, Google Dialogflow. Azure Language Processing

Why Biz4Group for Generative AI Consulting?

Recent Projects Delivered In AI

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Need assistance in other areas of AI implementation? We have AI experts on board.

Industries We Revolutionize

With an aim to Unleash the next wave of productivity with AI chatbots, we offer generative AI consulting for the following industries:

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FinTech

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Healthcare 

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Manufacturing

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Customer Service 

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Hospitality

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Transportation and Logistics

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Retail

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Education

Our Generative AI Development Approach

Hear From Our Satisfied Clients

VIDEO TESTIMONIALS

Meet Our Leaders

Blogs

Discover our handpicked collection of insightful blogs on latest industry trends.

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Frequently Asked Questions

As of now, the following are the top chatbot development platforms for generative AI:

  • Google: Palm and Bard

  • Open AI: ChatGPT 4.0

  • Amazon: Hugging Face, Bedrock

  • IBM Watson Studio

Being a generative AI development company, we’ve realized the following challenges:

  • Security

  • Overestimation of capabilities

  • Hallucination

  • Data privacy

  • Copyrights

According to Gartner, the following use cases of generative AI will flourish in 2023 and beyond:

  • Enhancing and Generating Written Content: Creating initial text outputs in the desired style and length.

  • Answering Questions and Facilitating Discovery: Assisting users in finding answers based on input and provided data.

  • Adjusting Tone: Manipulating text to either soften its language or make it more professional.

  • Creating Summaries: Providing concise versions of discussions, articles, emails, and web pages.

  • Simplifying Complexity: Breaking down titles, forming outlines, and extracting vital information.

  • Categorizing Content for Specific Uses: Organizing by sentiment, topic, and more.

  • Enhancing Chatbot Performance: Improving "sentity" extraction, sentiment classification for entire conversations, and generating conversational flows from general descriptions.

  • Software Coding: Generating, translating, explaining, and validating code.

The AI chatbot development cost starts from $10,000. Of course, it can go beyond that as per your requirements.