Top 10 GPT4 Alternatives & Competitors

Top 10 Alternatives to GPT4 Recently Reviewed By G2 Community

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Gemini
By Google
4.4/5
(279)
Product Description
DeepMind's Gemini is a suite of advanced AI models and products, designed to push the boundaries of artificial intelligence. It represents DeepMind's next-generation system, building on the foundation laid by its previous models like AlphaGo and AlphaFold. Gemini incorporates advancements in large language models (LLMs), multimodal capabilities, and reinforcement learning to provide more powerful, adaptable, and scalable solutions.
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Reviewers say compared to GPT4, Gemini is:
Better at support
Easier to do business with
Categories in common with GPT4:
Large Language Models (LLMs)

T5
By Google
4.3/5
(1)
Product Description
Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has emerged as a powerful technique in natural language processing (NLP). The effectiveness of transfer learning has given rise to a diversity of approaches, methodology, and practice. In this paper, we explore the landscape of transfer learning techniques for NLP by introducing a unified framework that converts every language problem into a text-to-text format.
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Categories in common with GPT4:
Large Language Models (LLMs)

Llama 3 70B
By Meta
4.3/5
(152)
Product Description
Experience the state-of-the-art performance of Llama 3, an openly accessible model that excels at language nuances, contextual understanding, and complex tasks like translation and dialogue generation. With enhanced scalability and performance, Llama 3 can handle multi-step tasks effortlessly, while our refined post-training processes significantly lower false refusal rates, improve response alignment, and boost diversity in model answers. Additionally, it drastically elevates capabilities like reasoning, code generation, and instruction following. Build the future of AI with Llama 3.
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Categories in common with GPT4:
Large Language Models (LLMs)

BERT
By Google
4.4/5
(1)
Product Description
BERT, short for Bidirectional Encoder Representations from Transformers, is a machine learning (ML) framework for natural language processing. In 2018, Google developed this algorithm to improve contextual understanding of unlabeled text across a broad range of tasks by learning to predict text that might come before and after (bi-directional) other text.
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Categories in common with GPT4:
Large Language Models (LLMs)

Claude
By Anthropic
4.4/5
(64)
Product Description
Claude is AI for all of us. Whether you're brainstorming alone or building with a team of thousands, Claude is here to help.
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Reviewers say compared to GPT4, Claude is:
Slower to reach roi
Easier to do business with

Megatron-LM
By NVIDIA
4.5/5
(25)
Product Description
First introduced in 2019, Megatron sparked a wave of innovation in the AI community, enabling researchers and developers to utilize the underpinnings of this library to further LLM advancements. Today, many of the most popular LLM developer frameworks have been inspired by and built directly leveraging the open-source Megatron-LM library, spurring a wave of foundation models and AI startups. Some of the most popular LLM frameworks built on top of Megatron-LM include Colossal-AI, HuggingFace Accelerate, and NVIDIA NeMo Framework.
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Reviewers say compared to GPT4, Megatron-LM is:
Better at support
Better at meeting requirements

StableLM
By Stability AI
4.8/5
(13)
Product Description
StableLM 3B 4E1T is a decoder-only base language model pre-trained on 1 trillion tokens of diverse English and code datasets for four epochs. The model architecture is transformer-based with partial Rotary Position Embeddings, SwiGLU activation, LayerNorm, etc.
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Reviewers say compared to GPT4, StableLM is:
Better at support
Better at meeting requirements
Easier to set up

Mistral 7B
By Mistral
4.2/5
(8)
Product Description
Mistral-7B-v0.1 is a small, yet powerful model adaptable to many use-cases. Mistral 7B is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. It’s released under Apache 2.0 licence, and we made it easy to deploy on any cloud.
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Reviewers say compared to GPT4, Mistral 7B is:
Better at support
Better at meeting requirements

Falcon-40B
By Technology Innovation Institute (TII)
Product Description
🚀 Falcon-40B Falcon-40B is a 40B parameters causal decoder-only model built by TII and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license.
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Categories in common with GPT4:
Large Language Models (LLMs)

RoBERTa
By Meta
Product Description
The RoBERTa model was proposed in RoBERTa: A Robustly Optimized BERT Pretraining Approach by Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov. It is based on Google’s BERT model released in 2018. It builds on BERT and modifies key hyperparameters, removing the next-sentence pretraining objective and training with much larger mini-batches and learning rates.
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Categories in common with GPT4:
Large Language Models (LLMs)

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