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Mistral-NEXT Model Vs Gemini Pro | Head to Head Comparison

Codewello2024-02-23
#codewello#Mistral Next#Gemini Pro#AI language models#large language models#conversational AI#AI comparison#Mixtral#AI future#machine learning#natural language processing#GPT-3#LaMDA#AI ethics#AI safety#Mistral-NEXT Model Vs Gemini Pro
395 views|5 months ago
💫 Short Summary

In the analyzed video, mTal NE, a new open-source AI model, is tested for its capabilities in logic, reasoning, and math, and is found to outperform the Gemini model. mTal NE demonstrates its superior understanding and ability to provide accurate answers to complex questions, making it a compelling choice for AI projects. The video also showcases a leaderboard where mTal NE is competing well with other established models, indicating the rapid advancements in open source AI models.

✨ Highlights
📊 Transcript
Introduction to the new open source model called mTal NE, which is considered better than large language models like LAMA 2.
00:00
mTal NE is a new model released by mTal, an open source company based in France.
The model is currently only accessible on lms.mt.org.
mTal NE is considered to be better than large language models like LAMA 2.
Testing the math capability of the mTal NE model and comparing it to Gemini.
02:10
mTal NE and Gemini are tested for their math capability with an equation from Wolfram Alpha.
mTal NE and Gemini's results are compared, with mTal NE providing an almost the same result as Wolfram Alpha.
mTal NE demonstrates better understanding of logic and reasoning in math questions compared to Gemini.
Comparison of the AI models' ability to answer questions and solve logic and math problems.
04:02
mTal NE and Gemini's ability to solve logic and math problems is compared.
mTal NE shows better performance in understanding and solving the given problems.
Gemini's response to the minimum number of people on a bus question is considered inadequate.
mTal NE demonstrates a better understanding of the question and provides a more accurate response.
The speaker demonstrates the superior performance of the mTal NE model compared to Gemini in generating accurate responses.
05:36
mTal NE consistently provides accurate and relevant answers.
Gemini, on the other hand, sometimes gives wrong or irrelevant answers.
The speaker expresses his preference for using mTal NE for open source projects.
The speaker showcases a leaderboard and expresses his opinion on the rapidly improving open source models.
06:42
The leaderboard displays the ELO ratings for different models, with gbt 4 currently being the best.
The speaker believes that mTal NE is competing well with Gemini and gbt 4.
The speaker expresses the view that open source models, particularly mTal, are making significant advancements.
The speaker recommends using mTal for open source projects.
💫 FAQs about This YouTube Video

1. What is the new open source model released by mTal?

The new open source model released by mTal is mTal NE, which is considered better than large language models like LAMA 2. It has been tested and found to provide excellent results in terms of logic and reasoning.

2. How does mTal NE's capability compare to other AI models like Gemini in terms of logic and reasoning?

mTal NE's capability in logic and reasoning is demonstrated to be superior to other AI models like Gemini. The comparison highlights mTal NE's ability to understand and provide accurate answers to complex questions, showcasing its high level of performance in natural language processing.

3. What applications can mTal NE's superior logic and reasoning capabilities have?

mTal NE's superior logic and reasoning capabilities have a wide range of applications in various fields such as data analysis, decision making, and problem solving. The model's ability to process and understand complex information makes it valuable for use in natural language processing and AI applications.

4. In the video, what example demonstrates mTal NE's better understanding of logic and reasoning compared to Gemini?

In the video, the example of the bus seating arrangement demonstrates mTal NE's better understanding of logic and reasoning compared to Gemini. mTal NE is able to determine the minimum number of people on the bus by logically analyzing the given information, while Gemini's response is considered inadequate.

5. How frequently are new open source models being developed, and what is the speaker's recommendation for using open source models?

New open source models are being developed frequently, with the speaker expressing a high level of confidence in the mTal NE model. The speaker recommends using mTal NE for open source projects, highlighting its superior performance and the ongoing advancements in open source AI models.