Nathan Peck’s Post

🌟 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝐀𝐈'𝐬 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐋𝐋𝐌𝐬 𝐋𝐚𝐧𝐝 𝐨𝐧 𝐀𝐦𝐚𝐳𝐨𝐧 𝐁𝐞𝐝𝐫𝐨𝐜𝐤 soon Exciting news for the AI community! Amazon Web Services (AWS) is integrating Mistral AI's powerful large language models (LLMs), Mistral 7B and Mixtral 8x7B, into Amazon Bedrock. 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: Having used Mistral 7B locally on my MacBook with Ollama, I've been blown away by its performance compared to other 7B models. The low latency and high throughput significantly improved my projects, from summarizing text to completing code. Similarly, Mixtral 8x7B, a sparse MoE model I tested through OpenRouter.ai integration with Big-AGI, impressed me with its efficiency and balanced cost-performance in tasks like summarization and Q&A. Stay tuned! I'll keep you updated on this exciting development. Hashtags: #MistralAI #AmazonBedrock #AIModels #LLMs #CodeGen #Chatbots #AIForAll #AIInnovation #AIonBedrock https://lnkd.in/eK8uxq6G

Heads up! You can now access Meta’s Llama 2 Chat model (13B) in Amazon Bedrock. Llama 2 models are next generation large language models (LLM) provided by Meta. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Meta, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models. https://lnkd.in/gGn6cFyr

"The entire world would like more chips for doing generative AI, whether that's GPUs or whether that's Amazon's own chips that we're designing," Amazon Web Services (AWS) CEO Adam Selipsky told CNBC in an interview in June. "I think that we're in a better position than anybody else on Earth to supply the capacity that our customers collectively are going to want." Yet others have acted faster, and invested more, to capture business from the generative AI boom. When OpenAI launched ChatGPT in November, Microsoft gained widespread attention for hosting the viral chatbot, and investing a reported $13 billion in OpenAI. It was quick to add the generative AI models to its own products, incorporating them into Bing in February.  That same month, Google launched its own large language model, Bard, followed by a $300 million investment in OpenAI rival Anthropic.  It wasn't until April that Amazon announced its own family of large language models, called #Titan, along with a service called #Bedrock to help developers enhance software using #generative AI. "Amazon is not used to chasing markets. Amazon is used to creating markets. And I think for the first time in a long time, they are finding themselves on the back foot and they are working to play catch up," said Chirag Dekate, Ph.D., VP analyst at Gartner. In the long run, Dekate said, Amazon's custom silicon could give it an edge in generative AI. "I think the true differentiation is the technical capabilities that they're bringing to bear," he said. "Because guess what? Microsoft does not have Trainium or Inferentia," he said. https://lnkd.in/gHkzuGFb #innovation #hardware #silicon #chip #manufacturing #experience #design #capital #market

5 re:Invent launches from Amazon Bedrock 1️⃣ Knowledge Bases With a knowledge base, you can securely connect foundation models (FMs) in [Amazon Bedrock](https://lnkd.in/dxfWgmWe) to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without continuously retraining the FM https://lnkd.in/dfw6Mnfr 2️⃣ Agents Agents for Amazon Bedrock helps you accelerate generative artificial intelligence (AI) application development by orchestrating multistep tasks. Agents uses the reasoning capability of foundation models (FMs) to break down user-requested tasks into multiple steps. https://lnkd.in/dVUiA9cf 3️⃣ Titan image generator You can now use Amazon Titan Image Generator to quickly create and refine images using English natural language prompts. This helps companies in advertising, e-commerce, and media and entertainment to create studio-quality, realistic images in large volumes and at low cost. https://lnkd.in/dv2n39Kz 4️⃣ Evaluate automatically models Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined metrics such as accuracy, robustness, and toxicity. https://lnkd.in/dzetF6iM 5️⃣ Guardrails You can use Guardrails for Amazon Bedrock to promote safe interactions between users and your generative AI applications by implementing safeguards customized to your use cases and responsible AI policies. https://lnkd.in/dNgysUYT Do you want to learn about Agents and Knowledge bases? I have a full tutorial about it, check it out here: https://lnkd.in/dxRd5fhX #aws #amazonwebservices #genai #amazonbedrock

Amazon recently launched PartyRock, an Amazon Bedrock Playground that allows anyone to create generative AI applications easily, regardless of their coding expertise. Since its launch, this user-friendly platform has already seen tens of thousands of applications built and shared. PartyRock enables access to foundation models from leading #AI providers, making it more accessible to a broad user base. What sets PartyRock apart is its use of Retrieval Augmented Generation (RAG), which enhances the accuracy and reliability of generative AI models by providing up-to-date information about the world and domain-specific data to your GenAI applications. The best part is that it offers a limited-time free trial offer without a credit card, unlike OpenAI’s GPT Builder, which requires a ChatGPT Plus subscription. To demonstrate the power of PartyRock, we created FlavorCraftAI, a personalized recipe generator that crafts delicious recipes based on your choice of 5 ingredients and preferred cuisine. 🍽️ Check it out for yourself and see the magic of PartyRock in action!   https://lnkd.in/dpJpcfue #GenerativeAI #AWS #PartyRock 

🚀 Exciting News from Amazon Web Services! 🌐Unveiling new generative AI features for Amazon Connect, their cloud-based contact center. Powered by Amazon Bedrock, these enhancements aim to elevate customer service experiences while keeping costs down. 📞 🔍 Key updates: 1️⃣ Amazon Q in Connect: AI-generated responses for lightning-fast customer support. 2️⃣ Connect Contact Lens: AI summaries of call conversations, detecting sentiment and policy compliance. 3️⃣ Amazon Lex in Connect: Crafting and enhancing chatbots using natural language prompts. 4️⃣ Connect Customer Profiles: Unified profiles from various applications for streamlined operations. Stay tuned for more: www.tradezing.com #AWSInnovation #AIAdvancements #AmazonConnect

Experience GenAI firsthand with Amazon Bedrock. GenAI is a branch of traditional AI and ML. There are three stacks of GenAI : - The foundation layer refers to the infrastructure for FM ( Foundation Models) Training and Inference. - The middle layer implies tools to build with FMs and LLMs( Large Language Models). - The top layer describes GenAI applications. I am excited to continue exploring the middle layer of GenAI and sharing my findings with others like me who are eager to learn. Comparing models using the same prompt reveals their individual strengths and weaknesses, allowing us to form educated opinions.  As I follow this path, I want to have a one-stop-shop for all available models, where I can test my prompt, evaluate outputs, and ultimately choose the output that suits my needs. I discovered a platform to meet these requirements - Amazon Bedrock. Amazon Bedrock is very intuitive and very easy to use. Experience GenAI firsthand yourselves by checking out my video and let me know what you think. Further info about Amazon Bedrock can be found here: https://lnkd.in/gkRNXurp #genAI #AmazonBedrock #GenAIforeveryone #lifelonglearners

Bedrock is the latest step in Amazon’s ongoing effort to democratize machine learning: https://lnkd.in/euUXtReZ #AmazonScience #AmazonWebServices #ML #Bedrock #LLMs #GenerativeAI #MachineLearning #ML

Great article from Amazon Science, discussing how Amazon Bedrock can help companies to move forward on the GenerativeAI journey. #AmazonBedrock #LLM #GenerativeAI

Deploying Gen. AI with awareness and responsibility: Useful LLMs outputs based on quality inputs with Amazon Bedrock