Data Science and AI with Sean Taylor (Chief Scientist at Motif Analytics, previously Data Science @ Facebook, Lyft) https://
spoti.fi/3qn77ZC #AI #MachineLearning #DeepLearning #LLMs #DataScience
LLMS
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Data Science and AI Interview with Sean Taylor from Motif Analytics
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ConversationalQAChain Templates LangChain Marketplace
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Chat history variable Use previous chat history inside the prompt. You can now create your own ConversationalQAChain from scratch using LLMChain + PromptTemplate, and more customization! A template is readily available in the marketplace.
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LoRA as Cost-Effective Solution for Multi-Customer LLM Deployment
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I believe this would be easiest and most cost-effective because they won't have to store a new 175B parameter LLM for each customer then. With LoRA, you can use the same base LLM but only need to store the LoRA weights.
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LLMate Launches Solution for Structured Data QA
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QA over structured data is hard
— Harrison Chase (@hwchase17) 23 août 2023
Excited to so LLMate working with @manuelsoria_ and @fpingham to bring a solution to market
We've been chatting with them for a while – they've got some good ideas https://t.co/4ZLpFG4StDQA over structured data is hard Excited to so LLMate working with @manuelsoria_ and @fpingham to bring a solution to market We've been chatting with them for a while – they've got some good ideas
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New Short Course on Fine-tuning Large Language Models
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New short course on Fine-tuning LLMs! Many developers are moving beyond only prompting, to also fine-tuning LLMs – that is, taking a pre-trained model and training it further on your own data, which can deliver superior results inexpensively. In this course, @realSharonZhou, CEO… pic.twitter.com/kAocaAgX0k
— Andrew Ng (@AndrewYNg) 23 août 2023New short course on Fine-tuning LLMs! Many developers are moving beyond only prompting, to also fine-tuning LLMs – that is, taking a pre-trained model and training it further on your own data, which can deliver superior results inexpensively. In this course, @realSharonZhou
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Claude 2 Now Available on Amazon Bedrock Platform
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You can read more in our blog post: https://
anthropic.com/index/claude-2
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Lonely Planet Uses Claude 2 on Amazon Bedrock for Travel Planning
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Trusted travel publisher @lonelyplanet is using Claude 2 on Amazon Bedrock to unlock decades of content and plan memorable trips for its customers.
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AWS Integrates Claude 2 for Enterprise AI Applications
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AWS customers can now integrate Claude 2’s capabilities, including thoughtful dialogue, content creation, and complex reasoning – built with Constitutional AI. Here are a few examples of businesses already deploying Claude 2 on the service:
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LexisNexis Deploys Claude 2 on Amazon Bedrock for Legal AI
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Leading global provider of information and analytics @LexisNexis is using Claude 2 on Amazon Bedrock to power its legal AI capabilities.
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Amazon Bedrock Makes Claude Available in AWS Secure Environment
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Amazon Bedrock is a fully managed service that makes leading LLMs including Claude available in @awscloud
’s secure environment. Building with Anthropic on the service enables organizations to easily deploy Claude using the AWS tooling they’re familiar with.