TEKnically Speaking’s Post

Let's jump into Part 3 of our TEKnically Speaking series topic of Retrieval-Augmented Generation! How do you train these language models without putting your proprietary data at risk? Check it out here: https://hubs.la/Q02tdC-S0 Mark Campbell, Chief Innovation Officer, EVOTEK Ned Engelke, Chief Technology Officer, EVOTEK EVOTEK Labs #artificialintelligence #innovation #infrastructure #ai

The new thing with the new thing - RAG is adding some much needed features to GenAI. #emergingtechnologies #artificialintelligence

Let's jump into Part 3 of our TEKnically Speaking series topic of Retrieval-Augmented Generation! How do you train these language models without putting your proprietary data at risk? Check it out here: https://hubs.la/Q02tdxz30 Mark Campbell, Chief Innovation Officer, EVOTEK Ned Engelke, Chief Technology Officer, EVOTEK EVOTEK Labs #artificialintelligence #innovation #infrastructure #ai

Are you ready to dive back into our topic of Retrieval-Augmented Generation (RAG)? This week's episode of TEKnically Speaking focuses on how our customers can utilize a private language model. Check it out here: https://hubs.la/Q02szQCD0 Mark Campbell, Chief Innovation Officer, EVOTEK Ned Engelke Chief Technology Officer, EVOTEK #artificialintelligence #innovation #infrastructure #ai

Find out how new AI architectures like RAG and RAG 2.0 will impact your underlying infrastructure. As my dad used to say, "There's a lot of friggin' in the riggin'" #emergingtechnologies #artificialintelligence

Are you ready to dive back into our topic of Retrieval-Augmented Generation (RAG)? This week's episode of TEKnically Speaking focuses on how our customers can utilize a private language model. Check it out here: https://hubs.la/Q02szTpb0 Mark Campbell, Chief Innovation Officer, EVOTEK Ned Engelke, Chief Technology Officer, EVOTEK #artificialintelligence #innovation #infrastructure #ai

Are you ready to dive back into our topic of Retrieval-Augmented Generation (RAG)? This week's episode of TEKnically Speaking focuses on how our customers can utilize a private language model. Check it out here: https://hubs.la/Q02szTG10 Mark Campbell, Chief Innovation Officer, EVOTEK Ned Engelke, Chief Technology Officer, EVOTEK #artificialintelligence #innovation #infrastructure #ai

𝐖𝐨𝐮𝐥𝐝 𝐲𝐨𝐮 𝐥𝐢𝐤𝐞 𝐭𝐨 𝐤𝐧𝐨𝐰, 𝐡𝐨𝐰 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐞𝐱𝐭𝐞𝐧𝐝 𝐭𝐡𝐞 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥 𝐰𝐢𝐭𝐡 𝐑𝐀𝐆? Thanh Long Phan and Fabian Dechent wrote a blog article about LLMs and Retrieval Augmented Generation (RAG) that answers this very question. Learn more about RAG, its applications, limitations and tips on how to improve it. You can find the full article here: https://lnkd.in/dkiRPEfr If you would like to dive deeper into the topics of LLM and RAG, don't hesitate to reach out to us. Our LLM circle will be happy to give you insights or assessments on your use cases. #largelanguagemodels #llms #rag #machinelearning

What's the Easiest Way to Run an Open Source Large Language Model on Your Machine? If you're looking to run a small large language model offline while keeping all your information private, let me introduce Ollama. Ollama.ai is designed to allow you to easily download models and run them locally. To get started, install Ollama. Then, go to the terminal and type: "ollama run model" Ollama will download the model. Configure the model to run locally. Download the new weights of the model. Ensuring you always have the latest version. Once it's running, you can interact with the model in your CLI. I personally been using Ollama for two months and it is great tool to be able to use.

You have no idea how to run a pretrained model like Llama2 from Meta? Ollama is the solution! Get up and running with large language models, locally. It's super easy also for non-technical people. With just two commands, you can download and run a variety of popular models. P.S: Some models are big so be sure that u have enough space and RAM 😅