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Generative AI APIs and ChatGPT Alternatives for Developers to Consider

ChatGPT has brought the conversation about large language models to the forefront, and developers everywhere are using it for everything from integrating generative chat for customer service use cases into websites and applications such as Expedia and Duolingo to using it for marketing.

It’s even being integrated into video games. Recently, NetEase began using AI in its game Cygnus Enterprises, and Niantic—the studio responsible for Pokémon Go—has recently released a new AR experience called Wol that is powered by Inworld AI.

Part of this recent surge in development includes the development of both general-purpose AI APIs and AI APIs that offer orchestrated models as a part of their service. This can be as simple as adding text-to-speech and speech-to-text, or even orchestrating multiple models at once.

Here are nine of the best ChatGPT alternatives and generative AI APIs for developers that are worth checking out.

Llama 2 is an open-source large language model developed by Meta, the company behind Facebook. The model is a ChatGPT free alternative for research and commercial use, which means that you can try it easily. All you have to do is download and install Llama 2 locally.

According to the benchmarks published by Meta, Llama 2 outperforms ChatGPT not just in safety but also in performance, though not by a huge margin. It’s also worth noting that these tests were performed against the GPT-3.5 language model, not the GPT-4 model.

There are many ChatGPT alternatives out there, and while Llama 2 may have an edge over ChatGPT when it comes to safety and performance, ChatGPT still outperforms it when it comes to creativity. This may be due to the massive data set that ChatGPT was trained on, or it may be due to Llama 2 being trained to be deliberately family-friendly.

Regardless, Llama 2 is one of the best alternatives to ChatGPT, and is ideal for any project that absolutely requires a family-friendly touch.

Find out more about Llama 2.

2. Inworld AI

Graphic featuring the AI Inworld

You likely first heard of AI characters and NPCs through videos such as this one by Art from the Machine. The concept was incredibly interesting, but the execution was not without its problems, with some even going so far as to criticize the lengthy pauses, sometimes incoherent answers, and soulless cadence.

Part of the reason for these problems is that these conversations are generated by Open AI’s API directly and then run through both text-to-speech and speech-to-text programs in order to produce the final result. That adds significant latency.

Inworld AI aims to change that—and it recently announced a co-development partnership with Microsoft and Xbox to achieve that. As an alternative to ChatGPT, Inworld AI was built deliberately to create realistic character performances for a variety of use cases including marketing, education, training, and, of course, video games. It does this by using what Inworld AI is calling a Character Engine. Think of it like a game engine but for characters.

Inworld’s Character Engine means that you won’t have to directly integrate a separate language model such as ChatGPT into your experience, or handle any of the other finicky steps such as setting up speech-to-text and text-to-speech. Inworld AI handles this step and more for you, including emotions, lip-syncing, and facial expressions, to name a few.

This character engine itself is built of three major parts: the Character Brain, Contextual Mesh, and Real-Time AI.

The Character Brain handles elements such as the character’s goals, long-term memory, personality, emotions, and voice. The Contextual Mesh handles things like the character’s knowledge of the world or experience, who the user or player is, what relationship they have, and how safe their responses should be. It also includes a Fourth Wall system to ensure that characters stay in character.

Finally, the Real-Time AI is designed to eliminate as much latency as possible, so that characters are capable of responding in real-time. It is also designed with scalability and concurrency in mind for larger and multiplayer projects.

Obviously, Inworld AI is an incredible alternative to ChatGPT when it comes to any gaming application, as this was what Inworld AI was first and foremost designed for, but having multiple models orchestrate an AI character’s performance can be useful in many other use cases, as well.

Find out more about Inworld AI.

3. Cohere

Graphic featuring the AI Cohere

Cohere is a large language model that is built primarily with enterprise in mind. This means that it has been trained on a data set with business use cases in mind, unlike ChatGPT’s more rounded and general data set.

The biggest difference between ChatGPT and Cohere is that Cohere is designed to be fine-tuned. Fine-tuning a large language model allows for more accurate results in a niche use case, which means that Cohere can more easily be tailored to a business’s specific needs than ChatGPT can. As such, it’s one of the best ChatGPT alternatives for enterprises.

Find out more about Cohere.

4. Bard

Graphic featuring the AI Bard

One of many ChatGPT free alternatives, Bard is a chat-based AI tool built by Google. It is based largely on the PaLM 2 large language model.

There have been many comparisons drawn between ChatGPT and Google Bard to try and determine which is better, and an objective answer is difficult as both are in a constant state of iteration and improvement.

Bard stands out as one of the best alternatives to ChatGPT due to the fact that it is capable of using real-time data, while ChatGPT is locked into its data from somewhere around 2021. This means that Bard is better suited to any task that requires up-to-date information, such as current events or the weather.

Find out more about Bard.

5. LangChain

Graphic featuring the AI LangChain

If you’re looking for an alternative to ChatGPT with an extremely powerful API, then LangChain might just be what you’re looking for.

Unlike ChatGPT LangChain is not a large language model in and of itself, but rather a generative AI API and set of tools that you can use to more effectively make the most of large language models such as ChatGPT.

LangChain allows you to easily set up and change components, as well as see how your large language models are performing and being used by the AI API itself.

Find out more about LangChain.

6. Claude

Graphic featuring the AI Claude

Claude is an AI assistant and large language model developed by Anthropic AI, which some call one of the best ChatGPT alternatives. With the introduction of Claude 2.0, this AI assistant has carved a niche for itself in the large language model space as an OpenAI GPT-4 alternative.

There are a number of things that Claude can do that ChatGPT can’t. For example, Claude is capable of taking uploaded files and analyzing them. It can also do this with links, though less reliably.

This allows Claude to take files that you have been given or are working on in order to help you better understand and interact with them – which makes it a great GPT-4 alternative.

Find out more about Claude.

7. Google – PaLM

Graphic featuring the AI Google PaLM

PaLM 2 is a large language model created by Google AI. Some consider PaLM 2 a direct GPT-4 alternative, though in truth PaLM 2 and OpenAI GPT-4 differ dramatically and both represent major milestones in the development of large language models.

There are quite a few differences between PaLM and ChatGPT, though the largest difference is in how PaLM handles device compatibility.

ChatGPT is effective but can be quite large and cumbersome. It requires dedicated servers or powerful computers in order to run it, though this can largely be sidestepped using an API.

Unlike ChatGPT, PaLM contains multiple smaller models that can be used on a variety of devices. It’s even possible to run a version of PaLM 2 on offline mobile devices, something that ChatGPT is incapable of.

Find out more about PaLM.

8. Azure – Open AI Services

Graphic featuring the AI Azure

Azure is a service that provides REST API access to OpenAI’s language models, such as GPT-3.5 and GPT-4. These are the language models that ChatGPT is based on, and Azure serves as a generative AI API to these models.

The advantage of using Azure over OpenAI’s in-built API comes down to a number of different factors. For one, Azure offers private instances of OpenAI’s large language models. This ensures that your data remains safe as you use the API.

Further, Azure makes it easier to fine-tune OpenAI’s GPT models for your specific use cases. This makes creating custom AI apps easier than if you were to simply use ChatGPT as is.

Find out more about Azure.

9. Stability AI – Stable LLM

Graphic featuring the AI Stability AI

Stability AI is an AI-based language model platform that, much like ChatGPT, offers an API. This allows it to serve handily as a free ChatGPT alternative.

On some metrics, Stability AI’s FreeWilly2 model outperforms ChatGPT, with the most prominent of these metrics being consistency.

This makes FreeWilly2 a great ChatGPT alternative. Where sometimes ChatGPT can produce erratic or unpredictable results, the FreeWilly2 model tends to produce mostly reliable answers. If you need consistency more than you need creativity, then this is a great use case for FreeWilly2.

Find out more about Stability AI.

The Bottom Line

As you can see, there are a huge number of different alternatives to ChatGPT that are worth checking out. Whether you’re looking for a specific large language model with its own API, such as Bard, or one of the many productionized alternatives to ChatGPT that’s a better fit for your use case, such as Inworld AI, there’s a tool out there that’s perfect for you.

This is a sponsored post. The product choices and opinions expressed in this article are from the sponsor and do not reflect the editorial direction of MakeUseOf or its staff.


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