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If you are curious about artificial intelligence and machine learning, you've come to the right place. We are the first AI blog by-and-for Latin Americans.


Microsoft and OpenAI held a groundbreaking event today to showcase their latest advancements in AI technology. CEO of Microsoft, Satya Nadella, opened the exclusive, invite-only event by addressing the 70-100 attendees which consisted of members of the press and digital creators.

One of the key highlights of the event was the introduction of a new chat assistant feature by Microsoft's Bing. This new feature is designed to make information retrieval easier and more efficient by providing the ability to cite sources, access recent and up-to-date information, and answer complex prompts. The chat assistant is powered by a custom tailored search model, known as ChatGPT 3.5, which is a more advanced version of OpenAI's current public offering on the ChatGPT bot.

CEO of OpenAI, Sam Altman, expressed his excitement about the continued collaboration between the two companies, which has been in place for the past three years. He emphasized that safety and ethics remain a top priority for both Microsoft and OpenAI in their continued advancements in AI technology.

At the event, Microsoft also announced that they are introducing a closed beta for the new version of Bing, which will be made available to a limited number of users for testing and feedback. The company plans to expand the availability of the new chat assistant feature to millions of users soon, once they have received and incorporated feedback from the beta testing phase. This move represents a major milestone in Microsoft's continued efforts to improve and enhance the search and information retrieval experience for users. With the new chat assistant feature, users will be able to access information more quickly and easily than ever before, making Bing a valuable resource for anyone looking to stay informed and up-to-date.

Overall, the event was a major step forward in the development of AI technology, showcasing the powerful capabilities of Microsoft's Bing and OpenAI's collaboration. The new chat assistant feature from Bing is poised to revolutionize the way people access and retrieve information, making it easier and faster than ever before. The continued focus on safety and ethics by both companies serves as a reminder that as AI technology continues to advance, it is important to ensure that its impact on society is positive.


Google has recently introduced a new language model called "Bard" that aims to challenge the dominance of OpenAI's ChatGPT in the field of natural language processing. This article will cover what we know about Bard and its features, how it differs from chatGPT, and its potential impact on the field of AI and NLP.


Bard is powered by Google's LaMDA, which enables it to perform advanced natural language processing tasks with high accuracy and efficiency.

LaMDA is a language model that focuses on generating text in a conversational style. It is designed to perform tasks such as generating responses to questions and generating coherent dialogue. LaMDA is powered by Google's cutting-edge language processing technology, including advanced neural networks and large-scale machine learning algorithms.

LaMDA provides Bard with the ability to respond to user inquiries in a way that is natural and human-like, even for complex and demanding tasks.

Comparison to ChatGPT

Bard has access to a larger and more diverse dataset compared to ChatGPT. As a result, Bard has the ability to generate more accurate and up-to-date responses, as it can cite recent events and trends. On the other hand, ChatGPT is trained on a smaller dataset and has a knowledge cut-off, which may limit its ability to provide up-to-date and relevant responses.

Potential Applications and Impact

The potential applications of Bard are vast and far-reaching. As a highly advanced language model, Bard has the potential to revolutionize the field of AI and NLP. It can be used in a variety of industries, including customer service, content creation, and market research. In customer service, Bard can be used to respond to customer inquiries quickly and accurately, providing an improved customer experience. In content creation, Bard can be used to generate high-quality content, reducing the time and effort required for manual creation. In market research, Bard can be used to analyze large amounts of data and generate insights, allowing organizations to make data-driven decisions.

At Bard's unveiling, Google CEO Sundar Pichai wrote about Bard's applications for search intelligence: "Soon, you’ll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web, whether that’s seeking out additional perspectives, like blogs from people who play both piano and guitar, or going deeper on a related topic, like steps to get started as a beginner.”


As the competition between technology companies to develop the most advanced language models continues to heat up, we can expect to see even more innovative and sophisticated models in the near future. This competition is a positive force that will drive the rapid advancement of natural language processing technology, leading to even greater breakthroughs and capabilities.

Although the future may be uncertain, the rapid pace of innovation in the field of natural language processing gives us reason to be optimistic. As technology continues to evolve, we can expect to see even more advanced and capable language models that will enable us to interact with technology in new and exciting ways.

Overall, the development of language models such as Bard and ChatGPT represents a step forward in the evolution of human-machine communication, and we can look forward to a future filled with even more incredible advancements and possibilities.

Meta AI, a leading artificial intelligence research company, has just found that AI blind agents can learn to navigate a maze just by touch, much like humans can.

The team wanted to know if AI navigation agents could develop maps of their surroundings, just like living creatures do. So, they trained some AI agents with limited sensory abilities using a technique called reinforcement learning.

Even with the limited information these agents had to work with, they still managed to navigate new environments with a success rate of 95%. They were also able to remember what they learned over time, avoid obstacles, take shortcuts, and develop maps of their environment that were tailored to their tasks.

Meta's discovery suggests that mapping is a key part of navigation for both living and artificial beings. This is a critical step forward in the field of AI navigation and is sure to inspire even more exciting advancements.

Read the research paper:

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