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Google Gemini: Redefining the future of AI technology

Google Gemini – the new standard of technology πŸŒπŸš€ Before the Covid era, Google introduced us to the MEENA model – which for a brief moment was the leading language model in the world. Compared to OpenAI and their GPT-2, the difference was huge. πŸ’‘ However, OpenAI did not rest on its laurels and soon released GPT-3. Of interest is an internal document by Noam Shazeer (co-founder and CEO of Character.AI) titled. “MEENA Eats the World.” He predicted the phenomenon that became public after the release of ChatGPT. πŸ”₯ It can be said that Noam was a visionary – He contributed to key works such as “Attention is All You Need,” Switch Transformer, and many others. And what about Google? It had the predisposition to dominate, but something went wrong then.πŸ“ ❗But beware, Google is back in the game and intends to top GPT-4 before the end of the year. Today we would like to introduce you to Google’s training systems for Gemini their dynamic development and position in the market. πŸš€ Behind Google training systems for Gemini is revolutionary technology. πŸ§‘β€πŸ’» Their approach to machine learning and speed of adaptation of the latest solutions is amazing. They invest in advanced algorithms and care about scalability and efficiency, which makes them a leader in this field. Combined with their rich data and real-time analytics capabilities, Google is taking steps that could redefine the future of artificial intelligence. πŸ” With competition in the AI market growing so rapidly, Google is not only maintaining its position, but also setting the standard for others. πŸš€πŸŒ Author: Monika Marczyk, Project Manager

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osoba piszΔ…ca na laptopie, rozmowa z chatGPT

RPA implementation challenges: our experiences with ChatGPT

Our experiences with ChatGPT in exploring RPA implementation challenges πŸ₯Ό πŸ”Ž Many organizations, in order to better understand the potential difficulties they may encounter when implementing RPA, turn to artificial intelligence, specifically ChatGPT, to create a list of RPA-related challenges. πŸ“ƒ As a result, the experiences can be intriguing but also somewhat disappointing πŸ˜₯. Today, we would like to share our insights with you – we decided to see what challenges and issues related to RPA implementation ChatGPT would provide us with. Here are our findings: ➑️ The list of challenges presented by ChatGPT included commonly known and frequently discussed items. These included, among others, integration with existing systems, managing organizational changes, adapting processes for automation, and data security issues. These challenges are crucial, but they were not news to us. πŸ›Ÿ πŸ” ➑️ We also did not receive any tips or more detailed, non-standard suggestions. Unfortunately, ChatGPT did not provide valuable industry-specific knowledge or organizational insights. It’s challenging to understand what specific difficulties one might encounter in a given situation and what the best practices are for overcoming them. βš”οΈ Despite the unfavorable conclusions, we must not forget the potential benefits of leveraging AI-based tools, such as ChatGPT, to analyze RPA implementation challenges. This can serve as a starting point for further research and discussions, enabling us to approach RPA implementation more consciously and effectively. πŸ’¬ In summary, ChatGPT is a powerful tool for exploring potential challenges, but its results are limited to the available general knowledge. Collaborating with a professional automation firm can significantly facilitate the RPA implementation process and accelerate its success. However, it’s essential to choose the right company with experience in automation to ensure the best results. πŸ’‘ Write to us and see for yourself how to overcome challenges and effectively introduce RPA into your company πŸ’¬ Author: Monika Serafin, Service Delivery Manager

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