Top Gen AI tools that flooded the market in 2023

Top Gen AI tools that flooded the market in 2023
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The popularity of OpenAI's ChatGPT fundamentally shifted the enterprise landscape to focus on generative AI in 2023 (and beyond).  Generative AI is a form of artificial intelligence technology that can create various types of content, such as text, imagery, audio, and synthetic data.

With many of the largest tech companies investing billions into the technology and even mid-sized and startup companies joining the fray. gen AI undoutedly became the hottest topic of discussion this year. The advent of gen AI also sparked shock and surprise among people on the potential use of the new technology, while a wave of panic also hit many about how AI could eventually take jobs away from humans. 

Market research firm Gartner forecasts that by 2026, over 80% of enterprises will have utilized GenAI application programming interfaces (APIs) or models, and/or implemented GenAI-enabled applications in production environments. This represents a substantial increase from the less than 5% adoption rate observed in 2023.   


TechCircle highlights some of the top gen AI tools that flooded the market and became essential tools for enterprises in 2023 

1. OpenAI GPT-4 

In March 2023, OpenAI unveiled Generative Pre-trained Transformer 4 (GPT-4), a multimodal large language model with 175 billion parameters. This surpasses its predecessor, GPT-3, by more than four times. Within months, GPT-4 became publicly available through the paid chatbot product ChatGPT Plus and OpenAI's API.  


GPT-4, a massive language model, is trained on a vast corpus of internet text. It can generate coherent and diverse texts on almost any topic, given a few words or sentences as input. Additionally, GPT-4 can perform various natural language tasks such as answering questions, summarizing texts, writing essays, composing emails, and even coding. However, GPT-4 has also sparked numerous ethical and social debates. Its ability to generate realistic and convincing texts raises concerns about misinformation, manipulation, and plagiarism.  

An upcoming enhanced version, GPT-4 Turbo, has been trained with up-to-date information from 2023. It features a 128K context window, enabling more thoughtful responses. 

2. Microsoft 365 Copilot 


On November 1, Microsoft 365 Copilot for enterprise customers became generally available, enabling partners and customers more access to Microsoft’s generative AI tools. Copilot is an AI assistant that helps customers with tasks across Microsoft’s productivity applications including Teams, Word, PowerPoint, Outlook and Loop. Copilot can create draft proposals, prepare demonstrations, summarize emails and write documents, to name a few use cases.  

The goal is for customers to collaborate more effectively and increased employee productivity. Customers must buy at least 300 seats of M365 Copilot to use it with M365 Copilot costing $30 per user per month. In October, Microsoft opened an early access program for Security Copilot, which promises to use GenAI for better protection of organizations and speed up security teamwork. 

3. Google Bard AI 


In February 2023, Google introduced Bard, its AI chatbot based on the LaMDA and PaLM 2 LLMs. In the wake of ChatGPT’s popularity, Google pushed its own AI, complete with reasoning, coding, and multilingual capabilities. Google Bard launched in India in May. The conversational generative AI tool acts like an AI collaborator to help boost Google Workspace portfolio, which includes Gmail, Docs, Drive, Meet, Chat, Sheets, Slides and more. 

The goal of Bard to boost customer productivity and accelerate creativity from the powerful LLM. Bard has similar capabilities to ChatGPT but with a bigger focus on accuracy and reliability, Google says. Bard can automate the work of scheduling meeting on Gmail, generate code for website layout, write content, and answer questions via Google Search, to name a few use cases. Bard Extensions allows users to link their Google services and applications together to find relevant information and answers from Gmail, Docs, Drive, Maps, YouTube and more, even when the information needed is spread across multiple apps and services. In December, Google continued to make its AI chatbot more feature-rich, including the addition of a more powerful language model called Gemini. 

4. Salesforce Einstein GPT 


Salesforce Einstein GPT, launched in March of this year, is an AI-powered tool that helps businesses enhance their customer relationship management (CRM) efforts directly within the Salesforce platform. By combining Salesforce's CRM platform with OpenAI's GPT-3, Salesforce Einstein GPT can provide valuable data insights, generate human-like text, and improve sentiment analysis for customers. The tool has been integrated with popular products like Slack, enabling it to automatically generate personalized responses to customer queries, emails, and chats. This not only frees up customer service representatives to focus on more complex tasks but also provides customers with a more personalized and engaging experience. Although Einstein GPT is still in its early stages, it has the potential to revolutionize the way businesses interact with their customers. In the future, it could be used to create chatbots capable of answering customer questions without any human intervention. Additionally, the tool could generate personalized marketing materials, such as emails and landing pages, entirely on its own. 

5. Google Cloud’s Duet AI 

Duet AI is Google's version of Microsoft Copilot, which launched in August is a generative AI tool that helps customers write applications, query data, create code and protect customers’ security and data privacy. Through a natural language chat interface, users can quickly chat with Duet AI to get answers to cloud questions or receive guidance on best practices. Duet AI is specifically trained on Google Cloud content like docs, sample code, etc., and it can also assists users with contextual code completion, offering suggestions tuned to a customer’s code base, generating entire functions in real time, and assisting with code reviews and inspections. Duet AI was injected to both Google Workspace and Google Cloud Platform in subsequent months, leveraging the Vertex AI platform to provide AI assistance while keeping data private at secure on GCP. 


6. Anthropic Claude 2

Launched in July, Claude 2 is Anthropic’s newest general-purpose LLM released by the AI startup which now powers Anthropic’s popular Claude AI chatbot. Claude 2 has improved performance and longer responses compared to Anthropic’s previous AI model, Claude 1.3, in terms of its ability to write code based on written instructions and the size of its context window. It can be accessed via API as well as website claude.ai. There are several versions of Claude 2, including Claude 2 API for businesses and a Claude AI chatbot.  

7. ChatSpot (HubSpot)

ChatSpot is an AI-powered assistant that combines ChatGPT and GPT-4 with HubSpot’s data sources and CRM software platform. The AI chatbot allows users to perform tasks such as creating custom reports and marketing messages, summarize HubSpot data, and add contacts to the CRM. Inside ChatSpot, users can find suggested generative AI, sales, marketing and research prompts that drive productivity and sales efforts. 

Some of the features inside ChatSpot includes prospecting templates that allow users to quickly identify key opportunities for outreach, create AI generated images, SEO expertise and helps IT reams dive deeper into company data such as technologies used, funding rounds and locations. 

8. IBM Watsonx  

In May, IBM has announced IBM Watsonx, a new AI and data platform to enable enterprises to scale and accelerate the impact of the most advanced AI with trusted data. The tech major in October further announced the launch of watsonx Code Assistant, a generative AI-powered assistant designed to help enterprise coding through natural language prompts. The product is said to cater to two specific enterprise use cases: IT Automation with watsonx Code Assistant for Red Hat Ansible Lightspeed and mainframe application modernisation with watsonx Code Assistant for Z.  

With Watsonx, IBM is offering an AI development studio with access to IBM-curated and trained foundation models and open-source models, access to a data store to enable the gathering and cleansing of training and tuning data, and a toolkit for the governance of AI for enterprises. 

9. DALL-E 3

In September, OpenAI announced the release of DALL-E 3, the latest version of its generative AI visual art platform. This new version incorporates ChatGPT, allowing users to create prompts and offering additional safety options. OpenAI researchers claim that DALL-E 3 has a better understanding of context compared to its predecessors. One notable feature of DALL-E 3 is its integration with ChatGPT. Instead of coming up with a detailed prompt themselves, users can simply ask ChatGPT to generate a prompt, which can then be used by DALL-E 3. Initially, DALL-E 3 was made available to ChatGPT Enterprise users in October, followed by research labs and its API service. OpenAI has put significant effort into implementing robust safety measures for DALL-E 3, aiming to prevent the creation of explicit or offensive images. 

10. Llama 2

In February 2023, Meta (formerly Facebook) released LLaMA (Large Language Model Meta AI), a foundational large language model designed to assist researchers in advancing their work in the field of AI. On July 18, 2023, Meta announced LLaMA-2, the next generation of LLaMA, in partnership with Microsoft. LLaMA-2 was trained and released in three different model sizes: 7, 13, and 70 billion parameters. Meta claims that Llama 2 is the first open-source language model of its size and has the goal of making generative AI more accessible and promoting its development. Llama 2 is trained on a diverse and multilingual dataset, enabling it to generate texts in 100 languages and perform zero-shot cross-lingual transfer learning. Additionally, Llama 2 supports various natural language tasks, including text classification, sentiment analysis, machine translation, and summarization. 

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