ChatGPT offers many features, but this artificial intelligence belongs to OpenAI and cannot be freely used. If you want to build your own AI chatbot apps, check out the best open source alternatives like OPT, Google PaLM or BLOOM.
Looking back, 2022 was a pivotal year for AI and machine learning. In addition to numerous tools for developers and numerous studies published by researchers, we have witnessed this The Rise of Broad Language Models.
ChatGPT in particular created a real storm on the Internet. A few days later, at the end of the year, it attracted this tool, which was put online by OpenAI tens of millions of users imagining all kinds of use cases and applications.
OPT: Meta’s open source GPT
OPT developed by Meta main competitor of the OpenAI GPT model. Its name is an acronym for Open Pretrained Transformer, and openness is one of its key features.
However, this model has a number of advantages that allow it to replace GPT. Its performance is similar to GPT for Zero-Shot NLP (Natural Language Processing) estimation and even outperforms DaVinci and GPT-3. hate speech detection.
This is not a surprise, as one of Meta’s main ambitions is to achieve censorship of hate speech. in social networks and the metaverse in the future. If this functionality is a priority for the applications you want to develop, OPT can be a great choice.
In addition, OPT is greener than GPT. The carbon footprint of its drive is seven times lower than GPT-3. Again, power efficiency was a priority for Meta, which uses the open-source Fully Transparent Data Parallel (FSDP) API and NVIDIA’s parallel parallel abstraction within Megatron-LM. The driver consumed about 147 TFLOPs per second per GPU on 80 gigabit NVIDIA A100 cards.
L’An open source approach to meta because artificial intelligence should be applauded. Mark Zuckerberg’s firm shares its models, training data, journals and more. No other tech giant contributes as much to the development of the machine learning sector.
PaLM: Google Pathways family language model
Model PaLM is part of the Pathways ecosystem : The architecture used by Google for all large language models (LLM). In 2022, several models joined this family, including Flamingo, Gato and PaLM.
These different models have brought a lot to the field of machine learning and Contributed to the rise of Transformers. With Pathways, Google has demonstrated that LLMs can pave the way for artificial general intelligence…
The performance of these models is amazing and outperforms humans in certain tasks. However, apart from the models themselves, the real innovation is the Pathways architecture in itself.
First, Pathways models trained on multiple data types such as texts, images and videos. This multimodal learning is the main difference with GPT, which is mainly text-based.
Also, instead of using the full architecture in every result, Pathways use only a subset of neurons. Therefore, the models take advantage of many neurons for both increased performance and more tasks, while minimizing costs. This is “sparse activation”.
Finally, Pathways can accept models multiple types of input for the same task. This gives them more flexibility than other models that can only accept different types of inputs for different tasks.
The PaLM model has recently been improved with reinforcement learning, as learned from ChatGPT’s GPT-3. Therefore, this model may be superior to ChatGPT due to its multimodal capabilities.
Sphere: Meta’s LLM program poised to replace Google
Since the launch of ChatGPT, many experts believe that this AI can replace web search engines. It is actually another language model It is better positioned to dethrone Google : this is an LLM Sphere developed by the machine learning researchers at Meta.
Impressive for his performance research related assignments, and this model can review billions of documents. Add to that Meta’s other work in the field of natural language processing, and Mark Zuckerberg’s firm could become a major competitor to Google.
The sphere model is capable of traversing a large data set answer the questions, check the quotes and even suggest alternative quotes that better fit the content.
While these capabilities aren’t enough to replace Google as a general-purpose search engine, they seem ideal for searchers. In addition, the open source nature of Sphere allows users to replace the body of the text on which the model is based. This gives it great flexibility. Of all the LLM models, Sphere has the greatest commercial capability…
BLOOM: LLM to prevent GAFAM monopoly
BLOOM is an automatic regressive large language model (LLM), trained in the field continue the text of the query entered by the user to large amounts of textual data using industrial computing resources.
Thanks to this training, the model can Create consistent text in 46 languages and 13 programming languages. Crafted text is so compelling that it’s hard to distinguish it from human-written content.
In addition, BLOOM can perform text exercises that he was not even taught openly. Just present it as word creation exercises.
So BLOOM is very similar to GPT. It is not accidental, because this has been the pattern created for fight against monopoly GAFAM in the field of large models. Indeed, over the past few years, the tech giants have used enormous computing power to conduct many studies that cannot be replicated by other research groups.
Therefore, independent researchers cannot be verified or criticized research conducted by these companies. Furthermore, Data Scientists tend to take the results of these studies out of context and create inefficient and expensive pipelines.
BLOOM aims to put an end to this phenomenon. This model is not controlled by GAFAM and aims to promote free research. If you’re looking for an open source alternative to ChatGPT, this is an ideal choice, even if its performance is obviously lower.
Galactica: Meta’s controversial ChatGPT for researchers
Galactica is another LLM developed by Meta, Similar to ChatGPT and aimed at researchers. This model is based on many studies and therefore can answer many scientific questions.
He is especially skilled helping researchers write up their research, explain a mathematical formula or detail the creation of a material. Unfortunately, at the time of its public launch, this LLM created a lively debate, and Meta had no choice but to pull it from the internet.
Netizens have really enjoyed trolling him by feeding him false information racist and sexist prejudices. Anyway, this powerful model can be very useful for various users and we can expect a new version in the near future…
Now you know the main open source alternatives to ChatGPT. Some of these models are more efficient than the OpenAI model, while others take a different approach. Anyway, their opening bids allowing for greater flexibility and freedom tech giants…