Using ChatGPT, Claude or Gemini at work and feeling guilty? Here’s why - Storyboard18
Using ChatGPT, Claude or Gemini at work and feeling guilty? Here’s why Storyboard18
Could not retrieve the full article text.
Read on Google News: ChatGPT →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Models
AI benchmarks systematically ignore how humans disagree, Google study finds
A Google study finds that the standard three to five human raters per test example often aren't enough for reliable AI benchmarks, and that splitting your annotation budget the right way matters just as much as the budget itself. The article AI benchmarks systematically ignore how humans disagree, Google study finds appeared first on The Decoder .
AI offensive cyber capabilities are doubling every six months, safety researchers find
AI models are rapidly improving at exploiting security vulnerabilities. According to a new study, their offensive cyber capability has been doubling every 5.7 months since 2024, with Opus 4.6 and GPT-5.3 Codex now solving tasks that take human experts about three hours. The article AI offensive cyber capabilities are doubling every six months, safety researchers find appeared first on The Decoder .
Error While using langchain with huggingface models
from langchain_core.prompts import PromptTemplate from langchain_community.llms import HuggingFaceEndpoint import os os.environ[“HUGGINGFACEHUB_API_TOKEN”] = “hf_your_new_token_here” prompt = PromptTemplate( input_variables=[“product”], template=“What is a good name for a company that makes {product}?” ) llm = HuggingFaceEndpoint( repo_id=“mistralai/Mistral-7B-Instruct-v0.3”, temperature=0.7, timeout=300 ) chains = prompt | llm print(“LLM Initialized with Token!”) try: response = chains.invoke({“product”: “camera”}) print(“AI Suggestion:”, response) except Exception as e: print(f"Error details: {e}") when i run this i get Value error can anyone help me out? Its a basic prompt template and text gen code but still it doesnt work i used various models from Huggingface and its not working well
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!