Have you always wanted to know more about something in a short time? The new research tool on AI is exactly what you are looking for, mixing simple chat conversations fueled by AI with its wide range of sources. And the best part is that it is free, and you don’t need to learn fast engineering skills to create a unique learning experience.
Google learns to make learning easy and organized
Google discovers Use a combination of Google’s research feature, Gemini LLM, and a quick magic and formatting to transform a request for a subject into a fundamental learning resource, supported by the source. When you invite you to discover, it sums up a subject, creates sub-security to read further and provides real sources for its information and more in-depth exploration.
Rearning We also provided related photo and video media on your subject and share suggested follow -up questions related to your subject. He can also, with limitations, use photos in prompts, although my experience with this functionality has been successful, mainly missing. While competition encroaches on Google, As with the search for ChatpptThis seems to be a defensive response to better implement AI.
Better prompts make better results
As for most AI LLM tools based on prompts, incentive with specificity and context will generally improve your results. For example, asking: “Help me to learn philosophy”, will probably provide a broad overview of philosophical concepts, while more specifically, inciting it: “Describe the equivalent of a master’s degree in philosophy and The impact of Plato ”, would result in much more specific and in -depth results.
This second invite provides a context by requesting the equivalent of level S and specificity courses by reducing the question of Plato’s philosophy. Note how the sub-themes of the Plato example are more detailed than the broad overview of philosophy.
Google discovers difficulties with niche subjects
Although specificity can improve the results of too large queries, too much specificity or ask questions about a highly niche subject can leave dull results. Because the large part of the information used on Learn on is derived from Google, if a subject is too much niche or if your parameters are too specific, the LLM of learning can find it difficult to respond to your prompt.
I will use a highly niche subject for which I know the Ocarina (a musical instrument) well and assesses the results of the learning. For the bases, the information is correct, although at the surface level, but there were some unhappy inaccuracies. For example, the image used for “online ocarinas” was not actually an online ocarina.
Other AI LLM tools also suffer from inaccuracies on niche subjects, but I had hoped that the information supported by the source could better avoid this problem. They are not Hallucinations AiBut it is not exact either.
Boring limitations hold back on the back
Beyond the inaccuracies on niche subjects, discover has even more limits in its current state, which, I hope, will be improved. First of all, conversations with Learn on are not recorded, which means that if you get an excellent learning foundation on a subject and close the tab, all the resources provided will disappear. As this tool is new and mainly provides a base for deeper research, it is not a huge affair, but being able to save conversations would be good.
In addition, the import to find out about conversations, sources and information Google, notebooklm notes generation toolwould make it much more useful.
In addition, discover mainly a regular LLM with a more unique graphical interface compared to chatgpt. As mentioned in the article, it has all the limitations that most LLM have, and many of its features are simply repairing on the same subject. For example, the suggestions “simplify” and “Go more deeply” rewrite your prompt, which makes sense but is a little disappointing.
Finally, although the most unique higher point in learning is its use of the sources sought by Google, some of the sources provided can be a little random, having only key words in common. Many of its sources are appropriate, but many could be improved.
Design of on
Discover the brilliants in its ability to quickly compile sources and information, but for better learning, AI cannot really replace the learning of original sources themselves. With luck, discover Will Overcoming his faults and limits, such as saving conversations, and becoming a more reliable resource for research. However, it still cannot replace the reading and analysis of original sources yourself.