Best ChatGPT Alternatives You Can Use in 2023
Artificial intelligence research firm Open AI has unveiled its latest chatbot. This chatbot with AI capabilities, called ChatGPT, has been made available for testing by the company. According to Open AI, researchers have taught ChatGPT how to talk to users in a “conversational manner,” making it more accessible to a larger audience. ChatGPT can also help you quickly create software for websites and applications. Many customers testify that ChatGPT provides a free, straightforward solution to code issues. On the official OpenAI website, you can try ChatGPT for free. It can solve complex coding related issues in a matter of seconds. The adapter-based model is trained using a huge set of conversational data in ChatGPT. Developing human-like responses to user input using this model enables real interactions with a virtual assistant. Users are constantly looking for ChatGPT alternatives to boost their creativity since the need for AI writing tools like ChatGPT is constantly increasing. As a result, we have developed a list of the best ChatGPT alternatives that may simplify our lives. When managing digital information, AI writing tools such as ChatGPT and various ChatGPT alternatives may help us save time and effort. The best ChatGPT options for 2023 will be examined in this post.
Chinchilla, another DeepMind model, hailed as a GPT-3 killer, is a perfect computational model with 70 billion parameters but four times as much data. In a number of final evaluation tasks, the model outperformed Gopher, GPT-3, Jurassic-1 and Megatron-Turing NLG. Researchers have discovered that the secret to better-performing language models is to increase the number of training tokens, or text data, rather than increasing the number of parameters. For inference and fine tuning, relatively little processing power is necessary.
The best alternative to GPT-3 is Bloom, an open source, multilingual model created by a team of over 1,000 AI researchers. It took 384 graphics cards with over 80GB of combined memory to train 176 billion parameters, a billion more than GPT-3.
The language model, created by HuggingFace via BigScience Workshop, has been trained in 46 languages and 13 programming languages. It can also be accessed in several forms with fewer parameters.
Megatron Turing NLG
With 530 billion parameters, one of the largest language models has been produced by NVIDIA and Microsoft. One of the most powerful English models was trained on the Selene supercomputer based on NVIDIA DGX SuperPOD. The 105-layer transformer-based LLM system called Megatron-Turing Natural Language Generation (NLG) outperforms the latest models in zero-, one-, and few-shot setups with the highest level of accuracy.
Rytr is a structured AI authoring tool. Writes articles for you using artificial intelligence. Its algorithms can produce unique and engaging articles with appropriate tone, style, and grammar as they are trained on historical data. In less than an hour, Rytr’s AI writing assistant will complete your essay without the help of a human.
Jasper, formerly known as Jarvis, is one of the best AI writing tools. Jasper has bought authoring services, including Headline and Shortly AI. Both tools are standalone solutions, but they aspire to fully integrate with Jasper. When you choose a topic and complete a form with the appropriate data, it generates the content for you.
ChatGPT for Chrome extension
You can easily access OpenAI’s ChatGPT on the web with the help of the free ChatGPT Chrome extension. Use this plugin to ask any questions on ChatGPT. On GitHub, the source code can be accessed.
An exact copy of the original
Replika is one of the best ChatGPT alternatives to inspire creativity while feeling lonely. It is an AI-powered chatbot that may pass easily to a friend and will always reply to your text messages immediately. Replica is open to conversation about life, love and the most common topics you can bring up with your friends and family.
One of the best illustrations of what AI software can do is FaceApp, a free-to-download photo editing tool that can be accessed on both Android and iOS platforms. Although this software is a photo altering tool, it is much more than that. FaceApp can quickly change facial features and prepare photos for social media sharing. It is the perfect alternative to discover who you are outside of ChatGPT.
An abbreviation for English Speaking Assistant is Elsa. It is a language learning program using artificial intelligence. It analyzes the user’s speech using artificial intelligence and then creates a simple set of tasks for the user to understand. Both iOS and Android smartphones and tablets support Elsa.
The dominant search engine, Google, is the source of this program. This is a great tool for kids because it uses artificial intelligence to help with school work. Suppose you have a math problem or a chemical reaction that requires a response. In this case, you can just scan it with the Socratic app, and Google will use artificial intelligence to provide a solution in seconds.
Created by Google using 137 billion parameters, LaMDA revolutionized the field of natural language processing. It was created by optimizing a set of Transformer-based neural language models. The researchers created a dataset of 1.5 trillion words for pre-training, which is 40 times larger than the dataset used for previous models. LaMDA has already been used in large workshops, software synthesis, and non-shot learning.
Mixer bot 2
The third version of Blender Bot 2, chatbot Meta, was launched a few months ago. The conversational AI prototype has its own long-term memory and is based on 175 billion parameters. The model generates output using the internet, memory, and previous conversation.
Alexa Tutor Models is a seq-2-seq language model with SOTA features for learning with a few shots (AlexaTM 20B). It stands out from competitors because it has an encoder and decoder to improve machine translation performance. Amazon also announced 20 billion parameters, which is a huge language model. The language model developed by Amazon on GPT-3 outperforms SQuADv2 and SuperGLUE benchmarks with 1/8 of the number of parameters.
This large-scale trained dialogue response generation model for discussions with multiple turns is called DialoGPT. 147 million multi-role boards from Reddit discussion threads were used to set up the algorithm.
The 2019 Microsoft DialoGPT project spawned Godel. Two functions are combined into one form by form. The first focuses on the task, while the second adds social and factual elements to the discussion. The majority of chatbots are either one or the other. So, for example, Godel might make a restaurant recommendation while also talking about sports or weather games, and then he can get the discussion back on track.
The GLaM model, which was created by Google, is a mixture of the expert (MoE) model, which means that it includes many sub-models who are experts in different inputs. With 64 experts per MOE layer and 1.2 trillion female teachers, it is one of the largest models currently accessible. The model only engages 97 billion parameters per symbolic prediction during inference.
Gopher, a language designed by DeepMind with 280 billion parameters, is particularly adept at providing answers to problems in the humanities. According to DeepMind, the model can compete with reasoning problems using GPT-3 and outperform language models with a performance of 25 times its size. For simpler study, smaller versions also exist with 44 million accessible parameters.
PaLM is a decoder-only adapter-dense model learned using the Pathways system which is another language model created by Google. PaLM is trained on 540 billion parameters. The model performed better on 28 of the 29 English-language NLP tasks than the other paradigms. In addition to being the largest TPU-based configuration, this language model was the first to offer large-scale models with 6,144 slices using the Pathways system.
BERT was created by Google using a neural network-based pre-NLP training method (Bidirectional Encoder Representations from Transformers). There are two variants of the model: Bert Large has 24 layers and 340 million trainable parameters, while Bert Base uses 12 layers of adapters and 110 million trainable parameters.
He chooses, he decides
Open Transformer Pretrained Transformer (OPT), a language model with 175 billion parameters, was created by Meta. It is trained using freely accessible datasets, which promotes more community involvement. Pre-trained models and training codes are included in the release. The model is only accessible for research use at this time and has a non-commercial license. Compared to competing models, the training and deployment requirements of the model have been reduced a lot, using only 16 NVIDIA V100 GPUs.
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Prathamesh Ingle is a consulting content writer at MarktechPost. He is a mechanical engineer and works as a data analyst. He is also an AI Practitioner and Certified Data Scientist with an interest in AI applications. He is passionate about exploring new technologies and developments with real-life applications