Ντέμης Χασάμπης

[mick7]

Ο Ντέμης Χασάμπης είναι επιστήμονας ΗΥ προερχόμενος απο την Κύπρο και παίζει σημαντικό ρόλο στις εξελίξεις της Τεχνητής Νοημοσύνης σε παγκόσμιο επίπεδο.

Άρθρο ==> https://www.ellines.com/famous-greeks/4 ... oimosinis/

Μια ενδιαφέρουσα συνέντευξη του στον Lex Friedman ==> https://www.youtube.com/watch?v=Gfr50f6ZBvo

[mick7]

Ενα συμπλήρωμα αυτού του ποστ χρησιμοποιώντας μια Τεχνητή Νοημοσύνη να δούμε ποιοι είναι οι 10 τοπ επιστήμονες που συνέβαλαν στην ανάπτυξη της.

Prompt (Έτσι λέγεται η ερώτηση στην Τεχνητή Νοημοσύνη ):

Κώδικας: Επιλογή όλων

List 10 people who contributed to the development of LLMs

Απάντηση:

1. Geoffrey Hinton: A renowned computer scientist and one of the pioneers of deep learning, Hinton made significant contributions to the development of LLMs. He introduced the concept of deep belief networks, which laid the foundation for many LLM architectures.

2. Yann LeCun: LeCun is a prominent figure in the field of deep learning and is known for his work on convolutional neural networks (CNNs). His research on CNNs greatly influenced the development of LLMs, particularly in the area of image recognition and processing.

3. Yoshua Bengio: Bengio is regarded as one of the founding fathers of deep learning. His research on neural networks and deep learning algorithms has greatly contributed to the advancement of LLMs, particularly in the area of natural language processing.

4. Alex Krizhevsky: Krizhevsky, along with his colleagues, developed the AlexNet architecture, which revolutionized the field of computer vision. This deep convolutional neural network was instrumental in the development of LLMs for image understanding and recognition.

5. Ilya Sutskever: Sutskever is a co-founder of OpenAI and has made significant contributions to the development of LLMs. His research focuses on improving the training and optimization algorithms for deep learning models, which has helped advance the capabilities of LLMs.

6. Andrej Karpathy: Karpathy is the Director of AI at Tesla and has played a key role in the development of LLMs. He has made contributions to areas such as image captioning and natural language understanding, pushing the boundaries of what LLMs can achieve.

7. Quoc V. Le: Le is a researcher at Google Brain and has worked on various deep learning projects. His contributions to LLMs include the development of models like the Transformer, which have greatly improved the performance of LLMs in natural language processing tasks.

8. Thomas Kipf: Kipf's research focuses on graph neural networks, which have become an integral part of LLMs for tasks involving structured data. His work has helped incorporate graph-based reasoning and understanding into LLM architectures.

9. Ian Goodfellow: Goodfellow is a prominent figure in the field of deep learning and has made significant contributions to LLMs. He is known for his work on generative adversarial networks (GANs), which have been used to enhance the generation capabilities of LLMs.

10. Timnit Gebru: Gebru is a computer scientist and researcher who has made notable contributions to LLMs, particularly in the area of fairness, accountability, and transparency in AI. Her work has highlighted the ethical considerations involved in the development and deployment of LLMs.

[mick7]

Είπα να το ζορίσω λίγο και να κατατάξει τους παραπάνω ηλικιακά...Δεν είχε κανένα πρόβλημα...

60s: Geoffrey Hinton (born 1947)

50s: Yann LeCun (born 1960), Yoshua Bengio (born 1964)

40s: Alex Krizhevsky (born 1988), Ilya Sutskever (born 1984), Andrej Karpathy (born 1987), Quoc V. Le (born 1983)

30s: Thomas Kipf (born 1989), Ian Goodfellow (born 1986), Timnit Gebru (born 1985)

Και ακόμη να υπολογίσει την mean, median .mode του δείγματος...

Mean: 51.7 years old
Median: 50 years old
Mode: 40 years old

[kkala]

Από ότι εκτιμώ από τις λέξεις του προηγούμενου κειμένου (#2), μόνο η Timnit Cebru είναι γυναίκα (γενν 1985). Θα ήταν χρήσιμο να υπήρχε και η γυναικεία συνεισφορά (συνήθως πιό πρακτική) στον τομέα αυτό, ίσως στο άμεσο μέλλον.

[mick7]

Πολύ σωστή η παρατήρηση σας. Γιατί συμβαίνει όμως αυτό..? Η ιδία η Τεχνητή Νοημοσύνη (η μάλλον ένα απο τα μοντέλα που τρέχουν τώρα...) μας εξηγεί...

Yes, the field of artificial intelligence (AI) is male dominated. According to a 2022 report by the National Science Foundation, only 28% of the workforce in AI is female. This is significantly lower than the percentage of women in the overall workforce in the United States, which is 47%.

There are a number of factors that contribute to the gender gap in AI. One factor is that women are underrepresented in STEM fields in general. According to the National Science Foundation, women make up only 28% of the workforce in science and engineering occupations. This means that there is a smaller pool of women to draw from when it comes to recruiting for AI jobs.

Another factor that contributes to the gender gap in AI is the lack of role models and mentors for women in the field. AI is a relatively new field, and there are not as many women in senior positions as there are men. This can make it difficult for women to find role models and mentors who can help them navigate their careers.

Finally, the culture of the AI industry can also be a barrier for women. AI is often seen as a "nerdy" or "geeky" field, and women may feel unwelcome or intimidated in this environment. Additionally, the AI industry is often very competitive, and women may feel that they have to work harder than their male counterparts to be successful.

Despite the challenges, there are a number of things that can be done to address the gender gap in AI. One is to encourage more girls and women to pursue STEM education. This can be done by providing more resources and support for girls and women in STEM fields, and by promoting positive role models and mentors.

Another thing that can be done to address the gender gap in AI is to create a more inclusive workplace culture. This can be done by providing unconscious bias training to employees, and by creating policies and procedures that support diversity and inclusion.

Από ότι εκτιμώ από τις λέξεις του προηγούμενου κειμένου (#2), μόνο η Timnit Cebru είναι γυναίκα (γενν 1985). Θα ήταν χρήσιμο να υπήρχε και η γυναικεία συνεισφορά (συνήθως πιό πρακτική) στον τομέα αυτό, ίσως στο άμεσο μέλλον.

[george visvikis]

Καλά κάνετε και μας λέτε ποια είναι όλα αυτά τα μπουμπούκια που έχουν συμβάλει στην ανάπτυξη της Τεχνητής

Νοημοσύνης για να έχουμε υπόψη μας ποιοι είναι αυτοί που θα μας καταστρέψουν. Αναρωτιέμαι αν υπάρχει έστω

και ένας ανάμεσά τους που συνειδητοποιεί, τι κινδύνους κρύβει αυτό το εγχείρημα για το μέλλον της ανθρωπότητας.

[mick7]

Κάθε νέα τεχνολογία έχει και θετικά και αρνητικά. Είναι στο χέρι της ανθρωπότητας να τα ρυθμίσει για το καλό της.

ΥΓ...Περισσότερο ανησυχώ για κάποιον παράφρονα ηγέτη χώρας που έχει στην διάθεση του (χιλιάδες) πυρηνικές βόμβες και απειλεί η ισοπεδώνει γειτονικές χώρες.

Καλά κάνετε και μας λέτε ποια είναι όλα αυτά τα μπουμπούκια που έχουν συμβάλει στην ανάπτυξη της Τεχνητής

Νοημοσύνης για να έχουμε υπόψη μας ποιοι είναι αυτοί που θα μας καταστρέψουν. Αναρωτιέμαι αν υπάρχει έστω

και ένας ανάμεσά τους που συνειδητοποιεί, τι κινδύνους κρύβει αυτό το εγχείρημα για το μέλλον της ανθρωπότητας.

[mick7]

Mε τον πρωθυπουργό μίλησέ ο κ.Χασαμπης σχετικά με την ΑΙ.

https://www.protothema.gr/world/article ... ethni-mme/