Generative AI
Development
Elevate your business to new heights by engaging top-notch professionals who can provide exceptional services.
Harness the game-changing potential of AI through our customized generative AI development services. Our comprehensive offerings, spanning from strategic consulting to the creation of robust solutions, seamlessly integrate with cutting-edge foundational models such as GPT-4, Llama, and PaLM-2. Our objective is to be at the vanguard of AI technology, pushing the boundaries of what's possible in the realm of artificial intelligence. By leveraging our generative AI solutions, organizations can achieve workflow automation and optimization, resulting in increased productivity and efficiency.
100+
Products Delivered
12+
Experience
49+
AI Solutions
90+
Fullstack Developers
Embrace the limitless potential of AI-inspired creativity and innovation with our Generative AI development services as your key.
Utilizing a wealth of knowledge across diverse AI domains like deep learning, machine learning, computer vision, reinforcement learning, and natural language processing, we specialize in crafting tailored generative AI models and solutions specific to your needs.
Generative AI Consulting
We collaborate closely with your team to create a tailored generative AI adoption strategy that aligns with your goals. Our consultants possess in-depth technical expertise in generative AI models and technologies, guaranteeing the implementation of the ideal solution for your specific use case.
Data Analysis
Our data analysis service is tailored to empower businesses by extracting valuable insights from their data, whether structured datasets or unstructured text. Our experienced data analysts adeptly extract, process, and analyze this information to reveal hidden patterns and deliver actionable recommendations.
Domain-specific Generative AI Model Development
We create domain-specific generative AI models to maximize AI's relevance and impact on your business. Our process starts with an industry and business assessment, followed by selecting a foundational model. We fine-tune it with your proprietary data and rigorously test it to meet your requirements.
Generative AI Solutions Development
From chatbots to recommendation systems and predictive analytics tools, we've got you covered. Our generative AI solutions leverage foundational models like GPT-4, LLaMA, and PaLM-2, delivering intelligent, creative, and adaptable systems to tackle complex challenges.
Generative AI Integration
We integrate generative AI solutions into your tech infrastructure, optimizing workflows and customer systems. Our seamless transition minimizes disruption, empowering your organization to thrive in the evolving tech landscape.
Upgrade and Maintenance
Your success is paramount. We offer post-deployment maintenance and upgrades to keep your generative AI solutions running smoothly, adapting to evolving tech and business needs, ensuring consistent value and innovation in a competitive landscape.
How Our Generative AI Development Services Set You Apart from the Competition
Increased Automation
"Our generative AI development services gives you a competitive edge by enabling substantial automation across multiple facets of your business. By entrusting AI-driven systems with repetitive tasks, you can strategically deploy your workforce to concentrate on innovation and fostering growth.
Increased Productivity
By harnessing the capabilities of generative AI, our services enhance your productivity. This results in expedited decision-making, optimized resource management, and streamlined workflows, allowing you to achieve more in less time and secure a competitive advantage.
Enhanced Creativity
Utilizing generative AI empowers your organization to cultivate innovation and creativity. Our solutions are designed to generate content, ideas, and roadmaps that spark new directions for your products or services, keeping you at the forefront and captivating your audience.
Cost Optimization
Through task automation, enhanced efficiency, and error reduction, you can substantially reduce operational expenses while preserving, and possibly enhancing, the quality of your products or services. This guarantees a competitive edge in the fast-paced current market.
Here's How Our Development Team Creates Generative AI Solutions
The process
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Requirement Assessment
- Identify and Record Project Requirements, Goals, and Limitations. It's essential to have a clear understanding of stakeholder expectations and project parameters.
Strategy Building
- Create a Strategic Blueprint Tailored to the Project's Objectives, Covering Generative AI Model Selection, Training Methodology, Resource Distribution, and Deployment Tactics.
Design and Development
- We create comprehensive specifications and architectural designs for the solution, then proceed to develop it using a finely tuned model, ensuring that it perfectly matches the client's distinctive needs.
Testing
- Thoroughly assess the generative AI solution through rigorous testing, enhancing its performance via iterative cycles to enhance output quality and mitigate biases.
Deployment and Optimization
- We deploy the generative AI solution into the production environment, and we commit to ongoing optimization initiatives aimed at improving its performance and the quality of its output.
Integration and Support
- Seamlessly incorporate the generative AI solution into the client's current ecosystem, and provide continuous support and maintenance to ensure it remains in sync with evolving needs.
AI Models We Have Expertise In
GPT-4
A suite of OpenAI models renowned for their exceptional problem-solving accuracy, leveraging advanced reasoning abilities and a vast repository of general knowledge.
LLaMA
LLaMA (Large Language Model Meta AI) serves as a fundamental large language model crafted to generate text, engage in conversations, summarize written content, tackle mathematical theorems, and make predictions about protein structures.
PaLM 2
Google's latest comprehensive language model excels at handling complex reasoning tasks, including code interpretation, mathematical problem-solving, categorization, query responses, and multilingual translation. This model underscores Google's dedication to responsible AI and represents a significant advancement beyond previous natural language generation capabilities.
Claude
Claude, developed by Anthropic, is a substantial language model (LLM) serving as a virtual assistant, designed for seamless integration into business workflows. Accessible through both a chat interface and Anthropic's developer console API, Claude excels in a wide spectrum of conversational and text-processing tasks.
GPT-3
A set of OpenAI models capable of performing natural language processing tasks such as text generation, summarization, translation and question answering.
Davinci, Curie, Babbage, Ada
GPT-3.5
OpenAI's lineup of models, which encompasses the highly proficient and cost-effective GPT-3.5-turbo, represents an advancement beyond GPT-3, with the ability to generate both text and code.
DALL.E
DALL·E, developed by OpenAI, is capable of generating lifelike images and artwork by interpreting text prompts. It can create images of designated dimensions, make alterations to existing images, and generate diverse variations based on user-supplied image inputs.
Whisper
Whisper, an OpenAI model for general-purpose speech recognition, offers versatile functionality including language identification, speech translation, and multilingual speech recognition.
Embeddings
OpenAI's Embeddings are numeric representations of linguistic elements such as words and phrases, designed to encapsulate their semantic meaning and interconnections.
Moderation
OpenAI's moderation models are machine learning models specifically engineered to aid in content moderation endeavors, encompassing tasks like the identification and removal of inappropriate or harmful content from online platforms.
Stable Diffusion
Stable Diffusion is a system that can create intricate images based on textual prompts and is versatile enough to perform tasks such as inpainting, outpainting, and guided image-to-image translations through textual input.
Bard
Bard, powered by Google's LaMDA technology, is a text-to-text generative AI chatbot. It's engineered to provide human-like responses to natural language prompts, enabling it to engage in human-like conversations.
Why choose Edibbee for Generative AI development project
In addition to developing generative AI solutions, Edibbee seamlessly integrate them into your current workflows. Our generative AI integration service provides substantial advantages to our clients, optimizing their internal processes and elevating customer-facing systems. Our approach focuses on a smooth transition, ensuring minimal disruption to ongoing operations. This empowers organizations to excel in today's fast-changing tech environment and harness the transformative power of generative AI.
Our team boasts significant experience and expertise in crafting top-tier generative AI solutions that cater to the unique requirements of our clients' businesses. Collaborating closely with our AI experts, we will construct forward-looking GenAI solutions to unlock the full potential of AI for your organization.
Our Areas of Expertise
Our Generative AI solutions are tailored to meet the unique needs of a broad spectrum of industries.
Banking and Finance
Within the banking and finance sector, our generative AI solutions offer cutting-edge data analytics, fraud detection capabilities, and the ability to deliver personalized customer experiences. These advancements enable financial institutions to streamline their operations, enhance risk management, and provide bespoke financial products and services.
Retail
In the retail sector, our GenAI solutions elevate customer engagement, optimize inventory management, and refine demand forecasting. This, in turn, results in heightened customer satisfaction, reduced operational costs, and amplified profitability through the utilization of data-driven insights.
Healthcare
Within the healthcare sector, our solutions play a pivotal role in medical diagnosis, offering valuable treatment recommendations and facilitating efficient patient management. By leveraging AI, healthcare providers can elevate the quality of patient care, simplify administrative tasks, and contribute to advancements in medical practices.
Supply Chain and Logistics
In the realm of supply chain and logistics, our AI solutions work towards the optimization of operations, enhancing aspects such as route planning, inventory management, and demand forecasting. The outcome is a reduction in operational costs, heightened efficiency, and an overall improvement in customer service quality.
Insurance
Within the insurance sector, our solutions provide invaluable support for underwriting, claims processing, and risk assessment. These capabilities empower insurance companies to offer more precise pricing, expedite claims processing, and ultimately enhance the overall customer experience.
Travel
In the travel industry, our AI solutions play a pivotal role in elevating customer support, refining recommendation engines, and optimizing pricing strategies. The result is a marked improvement in customer experiences, a surge in bookings, and enhanced revenue for travel companies across the spectrum.
Our Generative AI Technology Stack
DL Frameworks
Pytorch
Chainer
Caffe2
Theano
NVIDIA
Keras
Modules/Toolkits
Kurento
Microsoft Cognitive Toolkit
CoreML
Integration and Deployment
Docker
TF - Slim
TensorFlow
Tensor2Tensor
Sonnet
Neuroph
Clientele
Have an idea in Mind? Speak to us today.
What will happen next?
- With a wealth of knowledge and skill, we excel in crafting top-notch generative AI solutions customized to meet the unique requirements of our clients.
- Our team of AI specialists will collaborate closely with you to create forward-thinking GenAI solutions, unlocking the complete potential of AI for your organization.
- We specialize in constructing generative AI models that are fine-tuned for specific domains, perfectly aligning with our clients' unique use cases.
- Our approach to GenAI project development is adaptable, allowing us to tailor our methodologies to align with the specific needs and preferences of our clients.
- Our proficient team has a proven track record of developing a wide array of GenAI solutions, catering to the needs of both startups and established businesses.
Frequently Asked Questions
Generative AI, or Generative Artificial Intelligence, is a specialized domain within the broader field of artificial intelligence, dedicated to producing fresh and unique content or data. This field harnesses algorithms and models to create information that isn't explicitly available in the initial training data. Generative AI exhibits the ability to generate various forms of content, such as text, images, audio, and more, often by learning and discerning patterns and associations from existing datasets. Its versatile applications span across multiple sectors, including content generation, the creative arts, data augmentation, chatbot development, and even the realm of drug discovery. This technology serves as a potent tool for automating tasks that demand creative or inventive outcomes.
Generative AI boasts a multitude of applications spanning diverse domains. Here are some common instances where generative AI proves its value:
Text Generation: Generative AI can craft human-like text, serving purposes such as generating content, automatic summarization, and creative writing. Leading language models like GPT-3 and GPT-4 excel in this realm.
Image Generation: Generative Adversarial Networks (GANs) are instrumental in generating lifelike images, finding utility in art creation, design, and even the production of deepfake content.
Voice and Audio Synthesis: Generative AI is capable of producing human-like speech and music, making it invaluable in voice assistants, personalized audio content, and music composition.
Data Augmentation: Generative AI can generate synthetic data to bolster real datasets, enhancing the performance of machine learning models, particularly in scenarios with limited training data.
Style Transfer: This involves altering the style or appearance of content, like transforming a photograph into the style of a renowned artist's painting.
Chatbots and Virtual Assistants: Generative AI is harnessed to construct conversational agents proficient in generating responses and engaging in natural language interactions with users.
Content Recommendation: It can personalize content recommendations in e-commerce, content streaming platforms, and marketing.
Anomaly Detection: Generative models can discern regular data patterns and identify anomalies or outliers, proving beneficial in cybersecurity and fraud detection.
Art and Creativity: Generative AI fuels art creation, music generation, and exploration of novel creative dimensions.
Video Synthesis: It is adept at generating video content, including entertaining deepfake videos or synthetic training data for computer vision applications.
Language Translation: Generative AI contributes to language translation by generating translations for both text and speech.
Medical Image Generation: It can craft synthetic medical images for training and testing diagnostic AI systems.
Game Design: Generative AI is deployed in designing video game levels, characters, and content.
These examples merely scratch the surface, as the applications of generative AI continue to evolve with advancing technology. Generative AI's capacity to produce creative, contextually relevant, and innovative content makes it a formidable tool in an array of industries and disciplines.
At Edibbee, we offer a wide range of services within the field of generative AI. Our offerings encompass generative AI consulting, data analysis, the development of domain-specific generative AI models, the creation of generative AI solutions, as well as their ongoing enhancement and maintenance, along with seamless integration into your systems.
Edibbee embraces a collaborative and iterative methodology when it comes to generative AI development. Our primary focus is on delivering solutions that are not only customized but also of the highest quality and scalability. Our process kicks off with a deep dive into our clients' needs and goals, ensuring a thorough understanding. We harness the most advanced generative AI technologies to create bespoke solutions, emphasizing innovation and flexibility.
As we progress through the development journey, we place a premium on iteration and refinement. This approach guarantees that our generative AI solutions are in a constant state of enhancement, adapting to our clients' evolving requirements, and consistently delivering impactful results.
In our domain-specific AI model development process, we initiate with a thorough evaluation of your industry and business goals. Following this, we carefully choose a foundational model that forms the basis for our work. This foundational model is meticulously fine-tuned, integrating it with your proprietary data. Extensive testing is then carried out to ensure that the model aligns seamlessly with your precise business requirements.
Our portfolio encompasses a diverse array of generative AI solutions, including chatbots, recommendation systems, and predictive analytics tools. These solutions are rooted in foundational models such as GPT-4, LLaMA, and PaLM 2, which serve as the building blocks upon which our solutions are crafted.
Beyond creating generative AI solutions, we specialize in their seamless integration into your existing workflows. Our generative AI integration service delivers substantial advantages to our clients, optimizing their internal processes and elevating customer-facing systems. Our approach places a premium on a smooth transition that minimizes disruptions to ongoing operations. This empowers organizations to excel in the ever-evolving tech landscape, harnessing the transformative capabilities of generative AI to their fullest extent.
Step 1: Understand the problem. ...
Step 2: Select the appropriate model, algorithms, and tools. ...
Step 3: Gather and process data for training. ...
Step 4: Create a proof of concept. ...
Step 5: Train the model (optional) ...
Step 6: Integrate it into the application.