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Top ChatGPT Alternatives You Can Use In 2023

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Artificial intelligence research firm Open AI has unveiled its latest chatbot. This AI-enabled chatbot, called ChatGPT, has been made available for public testing by the corporation. According to Open AI, researchers taught ChatGPT to talk to users in a “conversational” way, making it accessible to a wider audience. ChatGPT can also help in quickly creating programs for websites and applications. Countless customers attest that ChatGPT provides free and straightforward code troubleshooting. On OpenAI’s official website, you can try ChatGPT for free. It can solve complicated coding-related problems in a matter of seconds. A transformer-based model is trained using a large corpus of conversational data in ChatGPT. Developing human responses to user input using this paradigm allows for genuine interactions with a virtual assistant. Users are continuously looking for ChatGPT alternatives to boost their creativity as the need for AI writing tools like ChatGPT is continuously increasing. As a result, we have developed a list of the best ChatGPT replacements that can simplify our lives. When managing digital information, AI writing tools like ChatGPT and various ChatGPT alternatives can help us save time and effort. The best ChatGPT options for 2023 will be examined in this post.


Chinchilla, another DeepMind model, hailed as the GPT-3 killer, is an ideal computation model with 70 billion parameters but four times as much data. In several downstream evaluation tasks, the model outperformed Gopher, GPT-3, Jurassic-1 and Megatron-Turing NLG. The researchers found that the key to better performing language models is expanding 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 required.


The best replacement for GPT-3 is Bloom, an open source, multilingual language model created by a team of over 1,000 AI researchers. It took 384 graphics cards with a combined memory of over 80 gigabytes to train on 176 billion parameters, which is a billion more than GPT-3.

The language model, created by HuggingFace through the BigScience Workshop, was trained in 46 languages ​​and 13 programming languages. It is also accessible in various forms with fewer parameters.

Megatron-Turing NLG

With 530 billion parameters, one of the largest language models was produced by NVIDIA and Microsoft. One of the most powerful English-speaking models was trained on the NVIDIA DGX SuperPOD-based Selene supercomputer. A 105-layer transformer-based LLM called the Megatron-Turing Natural Language Generation (NLG) outperforms state-of-the-art models in zero-, one-, and few-shot configurations with the highest level of accuracy.


A well-regarded AI creation tool is Rytr. It writes articles for you using artificial intelligence. Its algorithms can produce unique and compelling articles with the right tone, style and grammar because 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.


One of the top AI writing tools is Jasper, formerly known as Jarvis. Jasper purchased authoring services including Headline and Shortly AI. Both tools are standalone solutions, but are intended to fully integrate with Jasper. When you choose a subject and fill in a form with the necessary data, it generates the content for you.

ChatGPT Extension for Chrome

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 question to ChatGPT. On GitHub, the source code is accessible.


Replika is one of the best ChatGPT replacements to inspire creativity while feeling lonely. It is an AI-powered chatbot that can easily pass you off as a friend and will always respond promptly to your messages. Replika is open to conversations about life, love and the most common topics you can broach with your friends and family.


One of the best illustrations of what AI software is capable of is FaceApp, a free downloadable image editing tool that can be accessed on Android and iOS platforms. Although this software is a tool for altering photos, it is much more than that. FaceApp can quickly change facial features and prepare images for sharing on social networks. It is the ideal alternative to find out who you are beyond ChatGPT.


The abbreviation for English Language Speech Assistant is Elsa. It is language learning software using AI. It analyzes the user’s speech using AI and then generates 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 software. This is a fantastic tool for kids as it employs AI to help with schoolwork. Suppose you have a math problem or a chemical reaction that requires an answer. In that case, just scan it with the Socratic app and Google will use artificial intelligence to provide a solution in seconds.


LaMDA, created by Google with 137 billion parameters, has revolutionized the field of natural language processing. It was created by optimizing a collection of Transformer-based neural language models. The researchers generated a dataset of 1.5 trillion words for pre-training, which is 40 times larger than the dataset used for previous models. LaMDA has been used for BIG-bench workshops, program synthesis, and zero-shot learning.

BlenderBot 2

The third version of Blender Bot 2, Meta’s chatbot, was released 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 conversations.


Alexa Teacher Models is a seq-2-seq language model with SOTA features for low-shot learning (AlexaTM 20B). It stands out from competitors by containing an encoder and a decoder to improve machine translation performance. Amazon also announced its 20 billion parameters huge language model. The language model developed by Amazon outperformed GPT-3 in the SQuaDv2 and SuperGLUE benchmarks with 1/8 the number of parameters.


A large-scale trained dialog response generation model for multi-turn discussions is called DialoGPT. The 147 million multi-turn panels of Reddit discussion threads were used to prepare the algorithm.


Microsoft’s DialoGPT 2019 project gave birth to Godel. Two functions are combined on a model-by-model basis. The first is task-focused, while the second adds social and realistic elements to the discussion. Most chatbots are one or the other. So, for example, Gödel can provide a restaurant recommendation while talking about sports or weather games, and then he or she can put the discussion back on course.


The GLaM model, created by Google, is a mixture of expert models (MoE), which implies that it comprises many submodels that are experts on various inputs. With 64 experts per MoE layer and 1.2 trillion parameters, it is one of the largest models currently accessible. The model only involves 97 billion parameters for each token prediction during inference.


Gopher, a language designed by DeepMind with 280 billion parameters, is particularly adept at providing answers to problems in the humanities and sciences. According to DeepMind, the model can compete with logical reasoning problems using GPT-3 and outperform language models 25 times its size. For the simplest study, there are also smaller versions with 44 million accessible parameters.


PaLM is a dense decoder-only transformer model learned using the Pathways system and is another language model created by Google. PaLM was trained on 540 billion parameters. The model performed better on 28 out of 29 NLP tasks in English than other models. In addition to being the largest TPU-based configuration, this language model was the first to introduce full-scale models with 6144 chips using the Pathways system.


BERT was created by Google using a neural network based NLP pre-training method (bidirectional encoder representations of transformers). There are two variants of the model: Bert Large has 24 layers and 340 million trainable parameters, while Bert Base employs 12 layers of transformers and 110 million trainable parameters.


The Open Pretrained Transformer (OPT), a language model with 175 billion parameters, was created by Meta. He is trained using open access datasets, promoting greater 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 model’s training and deployment requirements have been greatly reduced, employing 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 excited to explore new technologies and advancements with his real-life applications.

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