Read more about llama-api and get a key here: https://
llama-api.com Documentation for the integration: https://
python.langchain.com/docs/modules/m
odel_io/models/chat/integrations/llama_api
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AI
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Llama API Integration Guide and Documentation Access
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LlamaAPI Adds Function Calling Support to Llama2
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Function calling with Llama2? In our first addition to langchain_experimental, we're excited to integrate with llamaapi LlamaAPI is a hosted version of llama2 that adds in support for `functions` in the same way @OpenAI does Thanks to @edreisMD
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Spatial Biology: The Hottest Field in Life Science Discovery
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What's the hottest field in life science for making new discoveries about human health and disease? https://
erictopol.substack.com/p/spatial-biol
ogy-is-lighting-it-up
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GPT Implementation: Attention Mechanism Deep Dive with Karpathy
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The best you can do is watch GPT from scratch by Karpathy. Great video! It’s more like an implementation of attention is all you need with a few changes in where layer norm is applied.
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Unemployment and Leadership Dynamics in Tech Entrepreneurship
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This is why I’m unemployable. I’ve never been good at following rules made up by overconfident mediocre men. Prefer to work as co-founder or strategic partner to men who have their shit together and aren’t insecure. They exist and deal with the mediocre men for me.
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IoT Security Future Requirements Webinar with Guillaume Crinon
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Calling all (ISC)2 members! Participate in @Keyfactor
's webinar next week, July 27, and earn a .75 CPE credit. Join #IoT expert Guillaume Crinon to discuss future security requirements & secure new products. Sign up here: https://
ow.ly/u6j850Pge3R #sponsored #keyfactor_ics #ISC2 -
MIT Neural Network Cuts Robot Task Planning Time in Half
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Imagine you've asked a robot to make you coffee. The difficulty: there are too many actions involved.
— MIT CSAIL (@MIT_CSAIL) 23 juillet 2023
MIT system cuts this planning time in half w/a neural net that predicts the probability that a task plan can be refined for more feasible robot motion: https://t.co/v6W1VcjT4I pic.twitter.com/M5ewUb8577Imagine you've asked a robot to make you coffee. The difficulty: there are too many actions involved. MIT system cuts this planning time in half w/a neural net that predicts the probability that a task plan can be refined for more feasible robot motion: https://
bit.ly/3PXobzH -
Macquarie Bank Leverages Google Cloud AI ML Banking
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Google Cloud Helps Macquarie Bank Enhance AI-Banking Capabilities: Macquarie’s Banking and Financial Services Group has joined forces with Google Cloud to harness the power of artificial intelligence (AI) and machine learning (ML) in an exciting… https://
analyticsvidhya.com/blog/2023/06/g
oogle-cloud-helps-macquarie-bank-enhance-ai-banking-capabilities/?utm_source=dlvr.it&utm_medium=twitter
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FLASK: Fine-Grained LLM Evaluation Framework for Alignment Skills
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10/ FLASK – proposes fine-grained evaluation for LLMs based on a range of alignment skill sets; involves 12 skills and can help to provide a holistic view of a model’s performance depending on skill, domain, and level of difficulty.
