Top 10 DeepSeek Coder V2 Alternatives & Competitors

Top 10 Alternatives to DeepSeek Coder V2 Recently Reviewed By G2 Community

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#1

Gemini
By Google
(224)4.4 out of 5
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.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
See all Gemini reviews
#2

Meta Llama 3
By Meta Platforms, Inc
(147)4.3 out of 5
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.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
See all Meta Llama 3 reviews
#3

GPT3
By OpenAI
(61)4.6 out of 5
GPT-3 powers the next generation of apps Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other advanced AI features through our API.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
See all GPT3 reviews
#4

Claude
By Anthropic
(56)4.4 out of 5
Claude is AI for all of us. Whether you're brainstorming alone or building with a team of thousands, Claude is here to help.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
See all Claude reviews
#5

BERT
By Google
(54)4.4 out of 5
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.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
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#6

GPT4
By OpenAI
(43)4.6 out of 5
GPT-4o is our most advanced multimodal model that’s faster and cheaper than GPT-4 Turbo with stronger vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
See all GPT4 reviews
#7

GPT2
By OpenAI
(31)4.5 out of 5
GPT-2 is a transformers model pretrained on a very large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any way (which is why it can use lots of publicly available data) with an automatic process to generate inputs and labels from those texts. More precisely, it was trained to guess the next word in sentences.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
See all GPT2 reviews
#8

Megatron-LM
By NVIDIA
(24)4.5 out of 5
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.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
See all Megatron-LM reviews
#9

T5
By Google
(20)4.2 out of 5
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.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
See all T5 reviews
#10

StableLM
By Stability AI
(11)4.8 out of 5
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.
Categories in common with DeepSeek Coder V2:
• Large Language Models (LLMs)
See all StableLM reviews

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