Artificial Intelligence in Design
(2023) In Diploma work IDEL01 20231Industrial Design
- Abstract
- The Clip model was a major
breakthrough in the field of artificial
intelligence (AI) when it was introduced
by OpenAI in January 2021. The Clip
(Contrastive Language-Image Pre-
Training) model is a neural network
model that can understand both text and
images, enabling it to perform tasks such
as image classification and captioning, as
well as natural language processing
tasks.
The Clip model can be pre-trained on
large datasets, allowing it to learn a wide
range of patterns. This pre-training
process involves training the model on
large amounts of text and image data,
and using a contrastive learning
approach to teach it to recognize similar
patterns in both domains.
The Clip model has been used to create
large... (More) - The Clip model was a major
breakthrough in the field of artificial
intelligence (AI) when it was introduced
by OpenAI in January 2021. The Clip
(Contrastive Language-Image Pre-
Training) model is a neural network
model that can understand both text and
images, enabling it to perform tasks such
as image classification and captioning, as
well as natural language processing
tasks.
The Clip model can be pre-trained on
large datasets, allowing it to learn a wide
range of patterns. This pre-training
process involves training the model on
large amounts of text and image data,
and using a contrastive learning
approach to teach it to recognize similar
patterns in both domains.
The Clip model has been used to create
large datasets such as the Laion-5b
dataset, which contains 5.85 billion text
and image pairs. This dataset was
created by scraping the internet for
images, and then labeling them using the
Clip model. The resulting dataset is a
valuable resource for training generative
models, as it contains a large and diverse
set of text and image pairs that can be
used to train models. This in turn has
paved the way for popular image
generating AI models such as Stable Diffusion and MidJourney..
Overall, the Clip model has been a
significant breakthrough in the field of
AI, enabling the creation of large
datasets and the development of
powerful generative models. Its ability to
understand both text and images has
opened up new avenues for research and
applications. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9130338
- author
- Sotra, Stefan
- supervisor
- organization
- alternative title
- Roof Box Machine
- course
- IDEL01 20231
- year
- 2023
- type
- M2 - Bachelor Degree
- subject
- publication/series
- Diploma work
- report number
- ISRN: LUT-DVIDE/EX--23/50636-SE
- other publication id
- ISRN
- language
- English
- id
- 9130338
- date added to LUP
- 2023-06-29 09:29:41
- date last changed
- 2023-06-29 09:29:41
@misc{9130338, abstract = {{The Clip model was a major breakthrough in the field of artificial intelligence (AI) when it was introduced by OpenAI in January 2021. The Clip (Contrastive Language-Image Pre- Training) model is a neural network model that can understand both text and images, enabling it to perform tasks such as image classification and captioning, as well as natural language processing tasks. The Clip model can be pre-trained on large datasets, allowing it to learn a wide range of patterns. This pre-training process involves training the model on large amounts of text and image data, and using a contrastive learning approach to teach it to recognize similar patterns in both domains. The Clip model has been used to create large datasets such as the Laion-5b dataset, which contains 5.85 billion text and image pairs. This dataset was created by scraping the internet for images, and then labeling them using the Clip model. The resulting dataset is a valuable resource for training generative models, as it contains a large and diverse set of text and image pairs that can be used to train models. This in turn has paved the way for popular image generating AI models such as Stable Diffusion and MidJourney.. Overall, the Clip model has been a significant breakthrough in the field of AI, enabling the creation of large datasets and the development of powerful generative models. Its ability to understand both text and images has opened up new avenues for research and applications.}}, author = {{Sotra, Stefan}}, language = {{eng}}, note = {{Student Paper}}, series = {{Diploma work}}, title = {{Artificial Intelligence in Design}}, year = {{2023}}, }