The most powerful generative AI writing tools of 2023

Once an obscure term buried among technology enthusiasts and researchers, large language models (LLMs) are now being cast in the limelight, a fundamental part of AI and a revolutionary development in 2023.

Support started with the likes of GPT-3.5 and ChatGPT and quickly expanded to include a variety of models ranging from professional code to quirky chatbots. In this evolving landscape, some LLMs appear to be versatile generalists, others are shrinking the violet, and others say the customizable nature and handheld convenience of the LLM's approach to AI data training makes it widely accepted.

This year, LLMs are not just a technological tool; In our daily lives, we are becoming digital masters, creators and sometimes slaves. They've evolved from foundational technologies to proof of strength and currency front and center — and variants are now ubiquitous, distributed across multiple platforms, and shaping everything they touch.

Here are some of the most powerful LLMs you can try right now—in part on our collective, personal opinion. We go beyond the cold hard data of benchmarks to share the practicality and innovation of each model. Let's review the names of two of these broad groups: open research and unabashed enterprise accelerators.

Top closed-source LLMs

GPT (OpenAI and Microsoft)

GPT (an acronym for Generative Pre-trained Transformer), the power behind OpenAI's ChatGPT and Microsoft's Copilot lineup, is a guiding force in the world of LMMs. The global AI hype wave Started with GPT-3.5. And changed to a more powerful GPT-4.5 turbo. This model, although not as freely available as before, has set new standards for language comprehension and generation.

GPT's introduction to widely used platforms like Copilot has made it a household name in tech circles, having a profound impact on the way we interact with AI in our daily digital activities.

Taken from:

The GPT stands out for its unmatched performance across a wide range of synthetic benchmarks, making it the most powerful model on the market today. However, the heavy censorship implemented to ensure safe and responsible use of AI can sometimes limit its creative potential. Microsoft's free version of Copilot offers a glimpse of future AI-powered code, an example of the model's versatility and power.

Cloud (Anthropoque)

Developed by a team of former OpenAI employees, Claude It marks a paradigm shift in AI development. By eschewing OpenAI's Tutorial with Human Feedback (RLHF), Cloud is the “Constitutional AI“Framework. This approach adheres strictly to a predefined set of rules, allowing for minimal human intervention when it is believed to ensure ethical AI behavior.”

The first free model capable of handling over 100K context tokens, Cloud sets new frontiers in AI understanding of long and complex conversations. Its latest update does Able to process more than 200 thousand context tokens (almost double the capacity of GPT-4.5 Turbo), making it a very powerful LLM in terms of context capabilities.

Taken from:

Its unique approach to AI management and extended context understanding puts the cloud in a league of its own. While it tracks the GPT-4 in terms of accuracy and overall quality, its more creative and interesting style offers a new perspective in AI interaction. However, his inclination towards fantasy is the business of more artistic and free-flowing expression.

Gemini (Google)

Gemini, Google's latest foray into the LLM platform, stands out for its multimodal capabilities. Unlike ChatGPT Plus, which integrates multiple AI models (such as GPT, GPT-Vision, and Dall-E 3) to provide different results, Gemini is natively trained to understand and produce textual and visual inputs and outputs.

Although not as accessible to the public as its competitors, Gemini promises to redefine Google's various services, leveraging its advanced multimodal understanding to deliver rich and integrated user experiences. Not everyone uses Google, but what they like.

Taken from:

Gemini's visual and textual integration sets a new standard for LMM, providing a more comprehensive vision of the future of AI. It is said to outperform the GPT-4 in multi-modal tasks, making it the top model in the AI ​​landscape. Gemini's potential to grow Google's ecosystem across multiple applications makes LLM one to watch closely in the coming years.

Top overall open source LLMs

Lama-2 (Goal)

LLMA-2 is an open source LLM developed by Meta. It is an evolution of the earlier (and legendary) LMA model that is widely popular among early AI enthusiasts. It's available in 7Bn to heavy 70Bn entries, making it a great choice for anyone looking for a model that can provide great interaction, from the light and occasional user to the serious professional.

Taken from:

The ability to fine-tune in multiple applications makes the LLMA-2 a versatile and powerful model. It looks more censored than the previous version, but still offers improved, more reliable output, making it popular with developers who want to customize it for specific tasks.

Mistral 8X7B (Mistral AI)

Developed by French startup Mistral AI, this LLM is an iteration of the Mistral 7b model developed with a ‘mix of experts' training approach. Expertise consists of dividing the model into multiple neural networks, each focused on different tasks or types of data. This results in more efficient and effective learning without the need for powerful hardware.

Taken from:

A sophisticated approach strikes a balance between quality and efficiency. This architecture leads to better throughput and also makes Mixtral the basis for many derivative models. Considering it has more power than the Mistral 7b, this model is very promising and is gaining steam in the open source LLM community.

Falcon 180B (Technological Innovation Institute)

The arrival of the Falcon 180B has been trained on the open source LLM, boasting 180 billion measurements and an unprecedented 3.5 trillion tokens. As reported by Decrypt, this model is the culmination of a concerted effort that involved 7 million GPU hours across 4,096 GPUs, all to create one of the most powerful models to date.

It has some lighter versions, but those 180B model sets are not standard.

Taken from:

The Falcon 180B isn't a consumer-grade model, but its ability to handle manuals, engage in rich conversations, and code tasks makes it a formidable device for those who can afford the necessary hardware. It provides quality output and can generally be a powerful partner for anyone who wants to invest in it.

Top LLMs for work

Blue (Big Science):

Imagine BLOOM becoming a digital colossus, spanning 176 billion parameters across the language horizon. Bloom is not only fluent in one or two languages, but also 46 natural languages ​​and 13 programming languages. This leviathan of language is the fruit of a year's labor of love and thought by more than 1,000 researchers from around the world, working for 117 days on the Jean Zy supercomputer in France.

Taken from:

BLOOM stands out as a symbol of linguistic diversity and a champion of the open source movement. His multi-glot ability distinguishes him; Its seamless integration with the Hugging Face ecosystem makes it accessible to anyone. It provides high quality results and is accurate enough for coding jobs and professional correspondence.

Mistral 7B (Mistral AI)

Mistral AI re-enters our list with the original. Mistral 7b Model, trained with 7.3 billion parameters. It became the talk of AI enthusiasts when the news spread that this model outperformed larger models in various parameters, especially code generation and English language tasks.

To train it, Mistral AI used techniques like “group-question focus” and “sliding window focus” for faster comprehension and efficient handling of long sequences. Released under the Apache 2.0 license, Mistral 7B is very accessible to anyone who wants to adapt the model to their needs, be it a business chatbot, a document analyzer, a conversational AI, or a funny bot with a personality.

Taken from:

The performance of the model speaks for itself – it is already superior to the powerful Lama-2 13B and has the performance of special code models. Its versatility has earned it a place in the hearts of many AI lovers around the world Models trained Based on this small but powerful model.

Top open source LLMs for fun

Nuss Hermes 2 – Yi-34B (Nuss Study)

There are many “Hermes” LLMs floating around, but the Nuss Hermes 2 – Yi-34B is our favorite. Trained on 1,000,000 entries, mainly generated by GPT-4, the base model is Yi LLM, which has made some waves in the community for its high context capacity and bilingual capabilities. Living up to its name, Hermes offers unfiltered knowledge, boasts a deep understanding of science and strong coding capabilities. The unparalleled performance of the Le Nus Research LMM in all parameters sets it apart from other models of the same class.

Taken from:

Thanks to the use of ChatML in open source LLMs for the field of work, Nus Hermes 2 – Y-34B stands out for its comprehensive approach and unique dialog and gameplay capabilities. Setting up the ChatML style is not easy for those new to it, but once you get the hang of it, the results are very, very good. It's great for learning new things, especially when it's set up correctly and provides great conversation starters.

Dolphin (Cognitive Computing)

Enter the bold incomer Dolphin in the world of big language models, well-tuned to the powerful Mixtral. This model is not your average digital chat list; It seems to be designed for those looking for funny digital chats, it has great capabilities for fans who want to do anything from funny and weird chats and engage in more funny role playing.

But Dolphin's realm extends beyond NSFW entertainment. Its coding prowess and sophisticated speech capabilities make it a versatile tool for a variety of applications. This unique cocktail of glamor and technical finance quickly earned Dolphin a reputation for bold innovation and versatility.

Taken from:

In the ever-evolving landscape of open source LLMs, Dolphin represents rapid growth and community-driven improvements—for now. Its foundation in Mixtral architecture speaks to LLM's commitment to adaptability and community aspirations, pushing the envelope of potential. While its unfiltered nature may appeal to a limited audience, Dolphin is a testament to unlimited digital expression and exploration.

WizardLM (OperatorX)

If you like dolphins, you'll love entering Wizard LLM, the Aitrepreneur's preferred LLM for NSFW role-playing territory. Despite being faced with the limitations of a short memory, WizardLM weaves its magic across a wide range of topics, binding responses to spellings with an inevitable consistency. It's not just a one-trick wizard; Other Wizard fine-tuning code snippets in areas like math and coding set Wizard LM up to be a versatile companion for those looking for depth and fun.

In particular, the 13B model is generally known as the Wizard LM, which excels at stimulating engaging, playful and occasionally enigmatic conversations. It's like having an imaginary partner at your beck and call, ready to dive right into a fantastic conversation.

Taken from:

WizardLM is a partner for people dealing with dependency and abuse in their digital relationships. Whether you're exploring the practicality of the job or the wildness of medical gameplay, Wizard LM excels in its ability to keep the conversation flowing, relevant, and engaging. An open source LLM is the preferred choice for those who promise more than speaking. WizardLM is delivering an experience—honesty meets a dash of mischief for an overall brilliant and fun digital journey.

Editor's Note: We took the time to configure chatbots based on the personalities of different story people and found this model to perform extremely well. Take your time and you will be rewarded in return. Have a great time with this model!