AWS Challenges Open Source with Bedrock
After four months of intensive development and testing, Amazon Web Services (AWS) has made Amazon Bedrock, its suite of foundational models generally available. Since its debut, the tool has proven vital in supporting the complex demands of enterprise users. This significant release comes on the heels of Bedrock’s debut, where it quickly proved its worth by meeting the demands of enterprise users. Moreover, in July, AWS upgraded the suite by including additional models, like Anthropic Claude 2 and Stability AI SDXL 1.0 models and the essential proprietary Titan Embeddings model. Among the many things that AWS has improved in Amazon Bedrock is ensuring compliance with regulatory standards, with a particular focus on the European Union’s General Data Protection Regulation (GDPR). Vasi Philomin, the Vice President and General Manager for Generative AI at Amazon, has affirmed this compliance, highlighting the company’s commitment to safeguarding data privacy and protection. A Hugging Face Competitor Since it threw a ring in the generative AI space, AWS has emerged as a formidable contender to open-source providers. AWS is soon planning to integrate Meta’s next-generation LLM Llama 2 into Bedrock, along with models from AI21 Labs, Anthropic, Cohere, and Stability AI. While AWS claims itself to be the pioneer in offering Llama 2 (13-billion- and 70-billion-parameter versions) as a fully managed generative AI service, other cloud-hosted generative AI platforms, such as Google’s Vertex AI and Hugging Face, have already been providing this service for some time. AWS’s models will be accessible through a managed API, optimised to deliver well within AWS infrastructure. This approach poses a challenge to Hugging Face, which has been the trusted host for these models since their debut. While pricing details for Llama 2 on Bedrock have not yet been disclosed, they are expected to be competitive with Hugging Face’s existing pricing structure. When the models were first released by HF, several users faced issues in running the model. Moreover, they struggled to gain access to the models on the platform initially as well. The users got acceptance from Meta almost immediately while their approval remained from HuggingFace for weeks. Despite the fact that AWS will be offering the same models as Hugging Face, it is unlikely that developers will readily shift to AWS. Hugging Face has successfully carved out a niche for itself as an inviting, engaging and comfortable space for developers, whereas AWS holds greater appeal among enterprise users. Interestingly, both companies are actively engaged in competition while simultaneously collaborating to democratise the field of AI development. Collaborative necessity Earlier this year, AWS and Hugging Face announced a strategic partnership aimed at offering LLMs and generative AI models on AWS’ ML platform. Through this collaboration the Hugging Face community now leverages AWS ML services and infrastructure, streamlining the processes of model training, fine-tuning, and deployment. The timing of these leaps by AWS is crucial, considering the shifting dynamics within the industry. Microsoft has the attention due to its exclusive partnership with OpenAI. Although OpenAI’s most powerful generative AI models are available through Microsoft Azure, access to these models remains highly restricted. Developers keen on using them must undergo a stringent application process, providing detailed use cases for consideration. Furthermore, even after gaining access, all solutions that deploy Azure OpenAI models must go through a use case review before being approved for production use. This cumbersome process stands in stark contrast to what AWS offers, making it a better choice for developers and the collaboration with Hugging Face further simplifies the process. Given the heightened interest and attention surrounding LLMs, AWS’s partnership with Hugging Face was virtually inevitable. Cloud providers are forced to intensify their efforts to deliver scalable infrastructure and platform services, providing developers with options for their specific needs. AWS is making concerted efforts to attract developers, launching a free, self-paced course called “Amazon Bedrock—Getting Started” to introduce users to the platform’s features and benefits. Additionally, AWS’s partnership with Hugging Face streamlines access to LLMs, making it a more accessible option for developers compared to Microsoft Azure’s stringent access policy and restrictions.
AWS has made Amazon Bedrock, its suite of foundational models generally available
After four months of development and testing, AWS has made Amazon Bedrock, its suite of foundational models generally available.
["Open Source AI"]
["Anthropic", "Hugging Face", "OpenAI", "AI", "AWS", "ML", "RAG", "Open Source AI", "Aim", "generative AI", "Azure"]
["AI", "ML", "generative AI", "OpenAI", "Anthropic", "Aim", "Hugging Face", "RAG", "AWS", "Azure"]
Tasmia is a tech journalist at AIM, looking to bring a fresh perspective to emerging technologies and trends in data science, analytics, and artificial intelligence.