Generative AI: When the Right Question Changes the Conversation

Given the overabundance of information and offerings regarding generative artificial intelligence technology, dozens of questions arise, including: which one, when, how, and why? However, if you’ve come this far, it’s because you’re already partway down the path and have an immediate need to develop a solution that helps your company become more productive.

Remember that when it comes to Gen AI applications, various techniques exist, each varying in terms of complexity, development time, and cost, including prompt engineering, augmented generation (RAG), fine-tuning, and comprehensive training.

So, whether it’s chatbots, text generation, language translation, sentiment analysis, code generation, question answering, or any other application, Vinkos can help you understand the different architectures and choose the one that’s right for your use case.

But what are the most common challenges once you’ve decided to develop Gen AI?

Challenges

Misinformed, ambitious strategies

Thinking that AI is for everyone and that it solves everything.

Adoption of incorrect architectures

Over-informing yourself about AI can lead to poor decisions regarding the type of development, its cost-benefit ratio, and even jeopardize the user experience.

Oversupply of packaged solutions

Both hyperscalers and software vendors offer solutions to all problems. But the reality is that “one size doesn’t fit all.” The right architectures and frameworks must be evaluated.

Poor data training and ingestion

Rash developments without data science support, with decontextualized processes, no evaluation, and constant hallucinations.

From question to impact.

Development driven by vision and well-connected data.

At Vinkos, we face these challenges and overcome them because our experience in engineering, data science, and the integration of diverse technologies enables us to help strengthen companies’ strategies and achieve their objectives, supporting them at every step.

We evaluate combinations of frameworks and architectures to balance development with valuable results in terms of time and cost. We seek a proper understanding of the business, which is essential for creating a successful system. Additionally, we engage in meaningful conversations with data to facilitate rapid iterations that can be validated and corrected.

Solutions

Let’s implement a diagnostic approach together, using the scientific method, to identify the problems to be solved and the real alternative solutions that enable the implementation of a practical application.

Let’s discuss and create the right prompts together to ask the right questions and get the answers you need, all in the company of Vinkos.