Generative AI refers to a program that can generate content based on certain prompts by studying set databases. This content can be used to generate almost any type of media, including text, images, videos, and audio. It should be noted that generative AI is one sort of AI. One way to describe “traditional AI” is automated processes where the actions of software are determined by how the programmer sets them. These “settings” are manually input, making their actions limited and predictable.
Generative AI uses machine learning techniques to analyze huge databases to create different types of output, mostly content like texts and images. This generated content tries to match the needs of the user in a way that it feels like a human created them. They are commonly used for generating text, AI and video content but are also used in more complex fields such as medical and automation industries for analysis and simulation.
Why Outsource a Generative AI Development Company
Generative AI development is a relatively new field that requires a lot of expertise to properly develop a software. Building a team from scratch can be very expensive and time-consuming, not to mention all the energy spent on finding the right candidates for the job. You will find yourself experimenting with a lot of resources to get the product you want.
Hiring a firm or an offshore team will help you skip all these steps, saving you a lot of time and money. You will also get the software you want within an established time frame. Outsourcing the project will also open up a lot of options for your project, both locally and globally. As such, you can find the perfect solution to your needs. While your hired is busy creating your desired product, you can focus on your core business competencies, optimizing your day-to-day operations.
Why hire Nascenia for your generative AI project development
Nascenia has been a veteran in the IT industry, working on projects around the globe. Years of experience in the industry have provided our developers with insights into all kinds of projects, and the adaptability to take on new challenges. We pride ourselves on being technologically agnostic, only relying on the best course of action for our customers without any fixation on specific tools and methodologies. This quality of ours has helped us in providing some of the best AI solutions and deploying them in the time set by our clients. Our portfolio consists of all kinds of companies, including government and multinational organizations.
Generative AI Development Services
These are the services we will provide to you.
AI Consultation Services
Our free consultation services will help you to understand and determine everything you need to do and want to do. Whether if you have questions, or have an idea you are not quite sure how to proceed with, a consultation with our finest developers will get you on the right track. Our experienced developers will provide you with insights that will help you make an informed decision.
Custom AI Solutions
Chatbots, Voicebots, recommendation systems, whatever solutions you need, we will build them for you. Deliver personalized content to your users that boosts the effectiveness of your business. We can run user tests that can provide you with the optimal custom AI solutions.
Fine-tuning gen AI models
We can help fine-tune and train AI models to be as accurate and specific as possible. We will ensure this by creating training models with vast and curated datasets so that they may provide the best response to user inputs. The more accurate your programs are, the more your users will come back for more.
AI integrations
Do you have a running program or application? We can help integrate AI solutions into them and boost their effectiveness. You do not have to build from scratch if you have a platform with active users. Instead of worrying about having to start over, use our services to provide AI services to your customers.
Support and Maintenance
Our services do not end as soon as we hand over the projects, we will be available for you to provide support whenever needed. Whether you encounter a bug or need a new update, we will help maintain your program long after project completion. Gen AI technology is a rapidly growing field, with new strategies and innovations coming up every moment. Implementing everything can be overwhelming on your own. So, we will be by your side improving your programs.
Our Expertise in Generative AI Solutions
Nascenia has provided AI software solutions to multiple clients. Among which one of the most important and biggest projects we took is “National Digital Service Assistance for the People’s Republic of Bangladesh”. In this assignment, we were tasked with incorporating AI-based chatbots into various Government websites. These sites are provided below:
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- Muktopaath (muktopaath.gov.bd)
- Teachers Portal (www.teachers.gov.bd)
- Konnect (konnect.edu.bd)
- MyGov app
- Nothi (nothi.gov.bd)
These chatbots were made considering the general typing skills of the population of the country. The websites mentioned above cover multiple sectors of the Bangladesh Government, with a really large user base of various professions. The developers here at Nascenia worked on making sure the responses to the general query of the public would be accurate and understandable by fine-tuning the databases.
Another huge project undertaken by us is the PACTApp project, which was the development of an AI-based web and mobile application. The main objective of this project is to use collective intelligence to help beneficiaries of public services solve the problems they are facing when accessing public services such as in health, education, land, environment, and construction sectors. User beneficiaries will input about the problems they are facing when accessing public services in these sectors. We implemented AI so that users can find the solutions to their issues without hassle.
Custom Generative AI Solutions for Your Business Needs
Custom solutions are key to enhancing operations for a lot of businesses. As we discussed earlier, we know that AI provides a lot of benefits, such as providing personalized content, automating processes, product recommendations, and whatnot.
While some advantages are universally needed by everyone, some industries will require more specified services. We will discuss with you your situation and needs and provide the best possible custom solutions. We provide some of the most budget-friendly solutions in the industry.
How We Ensure Quality and Innovation in AI Development
For every project we undertake, including AI development, our SQA team stays heavily involved from the beginning of the software development lifecycle. For every feature or change implemented, they run pre-QA testing side by side with the development team to keep it as bug-free as possible.
Our natural Language Processing experts ensure that state-of-the-art algorithms are used and that the databases are as clean and relevant as possible for each specific project. The combined efforts of each of our developers.
QA testers and NLP testers ensure the accuracy, safety, and performance of the final product. Our team holds regular seminars on the office premises to keep the whole team updated on the latest findings, keeping everyone on the same page.
Each member also goes through individual training whenever new industry standards are discovered. We pride ourselves in staying up to date and not getting complacent with our talent.
Components and Technology of Generative AI
Generative AI operates on set models to perform their work. There are a few types of gen AI models. They are
1) Generative Adversarial Networks (GANs):
Generative Adversarial Networks (GANs) are a deep learning generative AI model consisting of two parts: a generator and a discriminator. The generator is responsible for creating synthetic data that closely resembles the studied databases of the program. The discriminator, on the other hand, evaluates the generated data to be authentic or fabricated.
2) Variational Autoencoders (VAEs):
Variational Autoencoders (VAEs) encode input data into lower-dimensional latent space and decode it back to generate a new sample. It utilizes probabilistic modeling techniques to generate unique content. They are generally used for image, audio, and text generation along with anomaly detection, drug discovery, and data compression.
3) Recurrent Neural Networks:
Recurrent Neural Networks (RNNs) are neural networks that deal with sequential data like time-series data and natural language. They try to predict the next element by observing previous elements and context, kind of like a conversation. As a result, they are used for chatbots to deliver the experience of chatting with a person.
4) Autoregressive Models:
Autoregressive models generate data combining assigned datasets and previously generated elements to provide context-sensitive content. They observe correlations between prompts and generated content to specify the needs of the user to provide the most accurate version of the content being searched. This model is used by ChatGPT to provide answers.
5) Reinforcement learning:
Reinforcement learning relies on the program to generate content based on an environment and user feedback. This helps the generated content be fine-tuned to the user’s situation. This model is commonly used for text generation.
6) Transformer-based Models:
Transformer-based models use attention mechanics to create relationships between different elements in a sequence. They are parallelizable and can take care of long sequences, making them very effective in generating text adhering to context.
7) Few-shot learning models:
A few-shot learning model is a framework that aims to make accurate predictions based on a small number of datasets. It is useful for subject matters that have very little data available to work on.
8) Zero-shot learning models
Zero-shot models aim to recognize objects and concepts that are not fed to them during training. It is a deep learning setup that is used to categorize unseen items based on what it has learned.
Key Features to Look for in a Gen AI Development Partner
Once you decide to hire a gen AI development partner, you need to check before signing the contract.
- Proven track record: Check the portfolio of the company you are looking to hire to see what types of projects they have accomplished. See if they are proficient with assignments that match your requirements.
- Technical expertise: Check what kind of technologies your desired service provider is proficient with. This will be especially important if you require your projects to be built with specific tools for any reason.
- Customization capability: The company portfolio should be an indicator how much customizability a company can offer. Make sure you get the options that can meet your specific needs.
- Post-deployment support: The job of a service provider should not end right away after the deployment of AI software. Check their history of support and maintenance so that you can deal with issues post-launch.
- Security and data privacy: Ensure the partner adheres to industry standards and regulations for secure AI development. If you are working with sensitive data and information, be sure to sign an NDA.
- Collaborative approach: A partner that works closely with clients for feedback and iterative improvement. Have an agreement for hosting meetings periodically in short intervals. The industry standard practice is having regular bi-weekly meetings.
Future of Generative AI
Generative AI has been a fairly new concept among tech enthusiasts and the general public alike. While they were created during the early 2010s, they have entered the general public spaces and have been utilized by everyone as late as 2021. Despite how new the technology is, it shows great potential for the future. It has positively affected a lot of industries and is improving at a very high rate.
One of the best things that can be said about generative AI is that the generated content you see today will be the worst it will ever be. This means that the technology can and will only improve from here on out. At one point, they may even be indistinguishable from human created content. While this does raise some ethical concerns, the potential of gen AI is very high. So, getting into developing your own generative AI can bring in a lot of savings in the future. With Intelligent content processing and adaptive AI algorithms improving day by day, the path ahead is simple.
How AI Has Left Traditional Methods Behind
Features that were limited or not fully optimized without AI and have now been significantly enhanced with AI technologies:
- Data Analysis and Reporting – AI has brought great changes to data analysis and reporting. While there have always been automation tools that can speed up the process, they still need a qualified data analyst to sift through the data and derive accurate interpretations. AI can handle that part of the work too and report findings based on large historical data.
- Voice Assistants and Virtual Agents – Talking to a robot is no longer a thing only happening in movies, but also in reality. Voice assistants and virtual agents are becoming commonly used. Most phone systems have their own voice assistants with whom users can ask questions and even converse. The most popular example of this would be Apple’s Siri.
- Content Creation – Content creation is evolving with the implementation of AI. With image generation, voiceover tools and even text generation, it has expedited the content creation process, allowing creators to consistently create new content in short times.
- Product Recommendations – Most e-commerce sites/online stores have implemented AI into their recommendation systems. This allows the program to study customer behavior more efficiently to predict what customers are likely to buy based on their shopping carts. This grabs the attention of a buyer and helps make more sales for the e-commerce site.
- Design and Prototyping – AI can be a huge boost in the design and prototyping stage of any product. Whether it be a physical product or software, AI can simulate accurate end results based on historical data during development to make necessary changes to stick to end goals. Car manufacturers are using AI to create 3D worlds and car models to simulate the real life chaos of streets. This allows them to check the effectiveness of different safety features and help create safer automobiles for users. Software engineers use AI to get a vision of how their software will end up like to check if they are on the right track.
- Visual Content Creation – Similar to story and script generation, AI can be used to create visual content like images and videos. DALL.E3 and Midjourney are two of the most popular image generators while Sora is currently the most popular video generation tool. Besides them, most photo and video editing tools like Photoshop, Premier Pro and Wondershare provide AI features that can enhance visual contents and take care of tedious tasks. Getting into visual content creation has never been easier with these tools.
- Content Translation – AI is really efficient in translating large numbers of content accurately. It’s ability to study large numbers of data makes it a great tool for translation purposes, allowing it to be utilized by cameras, voicebots, text readers and other necessary tools. A person can now visit a country with no knowledge of their language and still communicate with locals using AI tools.
- Medical Diagnosis – This is arguably the most important feat AI has achieved for humanity. X-ray images are trained with various diagnoses to accurately detect diseases with the help of AI. This is really great because it allows for very early detection of potentially fatal diseases making them more likely to be treatable.
- Web Search – Chatbots like ChatGPT and Gemini have changed how people look up things on the internet. Instead of putting in keywords on the search engine and going through multiple websites to find the one thing someone wants, ChatGPT goes through multiple websites itself to find the answer and present it in a digestible manner. This makes searching for information much easier.
- Speech Recognition(Speech-to-Text and Text-to-Speech) – Speech-to-text and text-to-speech allows for audible words to be converted to text and vice versa. While TTS was quite common before AI, STT was not as widely used compared to it’s reverse counterpart due to lack of accuracy. However, with the implementation of AI, STT is starting to catch popularity and is used by people not used to typing.
- Image Recognition – AI has made huge strides in image recognition software. Image recognition used to be very limited in terms of functionality. Due to AI’s machine learning capabilities, it can identify similarities of one image against huge databases. It is heavily utilized for investigative purposes and can also be used for general staff bookkeeping.
- Predictive Text Suggestion – Predictive text suggestions can automate responses to general queries and posts, making it easier for anyone to respond to various situations like emails or chat messages.
- Automation – Most operations consist of tedious activities that are easy to perform but take up a lot of time. AI tools can automate those tasks, helping save time and helping workers allocate time and resources to more important tasks. As a result, the overall productivity of the workplace can increase multiple times than before.
- Personalized content – Delivering personalized content to each and every customer is not financially feasible…until today! Gen AI tools like chatbots and voice assistants can cater to individual needs and tastes. This can generate more leads and sales, not to mention higher customer satisfaction. 71% of the general audience today expects personalized marketing from brands, and gen AI can help meet these expectations.
Our Expertise in the following tools
Our diverse team of developers are experts in using any technology required for the project. We are well-versed in utilizing any tech stack that gets the best results for our clients. We are generally efficient with tools such as Rasa, OpenAI, GANs, NVIDIA, and other open-source models. Here are some popular AI tools we take inspiration and help from.
ChatGPT
ChatGPT is currently the most used AI tool in the world. It is a chatbot based on large language models made by OpenAI. It can work similarly to a search engine. However, it can do so much more as it can provide you with insights by collecting them from renowned sources. Here, you enter a prompt and it will generate a text based on your prompt. It can be a question, an instruction, or anything, and ChatGPT will try to come up with the most appropriate response possible.
Llama
Llama is a collection of autoregressive large language model (LLM) released by Meta AI. It is an open-source tool popular among natural language processing (NLP) experts to create chatbots and other applications. It prides itself on being easy to tweak and fine-tune, giving it a lot of versatility.
Gemini
Gemini by Google is an AI chatbot similar to ChatGPT. It is a text-generation tool that responds to prompts provided by users. It uses language models to understand the prompts provided to it to create the best response. While similar to ChatGPT, one advantage Gemini has over them is that it is integrated with Google services like Gmail, Drive, Docs, etc. So if you are someone who uses Google services, Google Gemini will help make using those applications easier, like reading emails, looking up places on Google Maps, and setting up appointments.
MidJourney
MidJourney is an AI image-generation tool. You provide it with prompts and it will go through its database to learn and try to provide an image that fits your description. While it can be a hit or miss when you try to generate any detailed image or replicate an art piece, it is a great tool for generating simple images that don’t require too much attention to detail.
DALL.E 3
DALL.E 3 is another popular AI art generator by OpenAI. Similar to MidJourney, it generates an image that tries to match the “prompts” input by a user by going through multiple databases.
Sora
Sora by OpenAI is a text-to-video generation tool utilizing AI. Similar to OpenAI’s other tools (ChatGPT and DALL.E 3), it uses prompts as its basis to create videos. No doubt, creating a video on its own is a marvelous feat. With constant improvements and strides taken by OpenAI, Sora will be a revolutionary tool in the content creation space.
Contact Us to Kickstart Your Gen AI Project
Gen AI has the potential to be a mainstream technology in the future. With the possibilities it has displayed, you may want to incorporate them for your own organization or build something completely new. If you or your organization do not have the resources to build an AI-powered program, hiring an offshore team would be the best option for you. Feel free to contact us for a free consultation. Whether you have a decent roadmap on how you want to proceed or have a rough idea of where to start, our team can guide you into making your wishes a reality. We wish you all the best.
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