Llama-2-Onnx : an optimized version of the Llama 2 model https://
github.com/microsoft/Llam
a-2-Onnx?s=09
… V/ @_akhaliq #OPENAI #GenerativeAI #LLM #ChatGPT #LLM #DataScientist #Tech #BigData #Analytics #innovation #Crypto #MachineLearning #TensorFlow #coding #IoT #100DaysOfCode #NodeJS #Python
LLMS
-
Microsoft releases optimized Llama 2 ONNX model version
By
–
-
AI-Generated News Anchors Making Headlines in India
By
–
AI-generated news anchors are making headlines in India https://
zd.net/45jH4RT
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Generative AI with LangChain: Tools and Techniques
By
–
Generative AI with LangChain! @benji1a #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Gen-AI-LangCha
in
… -
Google DeepMind’s Gemini to surpass GPT-4 with AlphaGo-LLM combination
By
–
Google DeepMind’s CEO @demishassabis says their new AI model "Gemini" will far surpass the capabilities GPT-4 Gemini (still several months from release) is a multi-modal AI system that combines their Go-winning program, AlphaGo, with LLM capabilities. Google acquired
-
LangChain Expression Language enables parallel operations optimization
By
–
If you do these operations sequentially, they can start to add up That's why it's important to do them in parallel One nice attribute of the LangChain Expression Language is it tries to do things in parallel where ever possible
-
LangChain RunnableMap Parallel Operations Guide
By
–
In this case, we have a `RunnableMap` (the dictionary) For these operations, they are run in parallel See our guide on that here: https://
python.langchain.com/docs/guides/ex
pression_language/interface#parallelism
… -
Create Custom LLM Chatbots with Abacus AI Platform
By
–
Create Your Own Custom LLM Chatbot! @abacusai #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode http://
abacus.ai -
Trustworthy LLMs: Key Categories for Assessment Overview
By
–
10/ Trustworthy LLMs – a comprehensive overview of important categories crucial for assessing LLM trustworthiness, including reliability, safety, fairness, resistance to misuse, explainability and reasoning, adherence to social norms, and robustness.
-
LLMs for Industrial HVAC Control Systems and Prompt Generation
By
–
9/ LLMs for Industrial Control – an approach to select demonstrations and generate high-performing prompts used with GPT for executing tasks such as controlling (Heating, Ventilation, and Air Conditioning) for buildings.
-
Synthetic Data Reduces Sycophancy in Large Language Models
By
–
7/ Synthetic Data Reduces Sycophancy in LLMs – proposes fine-tuning on simple synthetic data to reduce sycophancy in LLMs; finds that LLMs repeat the user’s view even when the opinion is wrong.