5. ChatGPT can also detect coding errors and suggest fixes. To enable this feature, type /analyze.
LLMS
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Share code with /share for real-time collaboration
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4. ChatGPT allows you to collaborate with other developers in real-time. To share your code, type /share, and provide the link to the code.
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ChatGPT supports multiple programming languages via /setlang
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2. ChatGPT supports several programming languages such as Python, Java, JavaScript, C++, and Ruby, among others. You can switch languages by typing /setlang.
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ChatGPT allows coding without leaving messenger via /code command
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1. ChatGPT allows you to code without leaving the messenger interface. To start a new conversation, simply type /code, and you're good to go.
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10 tips & tricks to master ChatGPT as a code interpreter
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The most valuable secret weapon for developers in 2023. ChatGPT is a code interpreter with endless uses. Let's take a look at 10 tips & tricks to master it:
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Multimodal Medical AI: Advancing Healthcare with Machine Learning
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Multimodal medical AI https://
bit.ly/45ghLAf #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Enterprise LLM Inference Deployment at Scale
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Real-time, highly accurate insights, at a price point supportive of business needs at scale, are critical to evolving markets. For guidance, check out @aeaglejr
's white paper, Key Enterprise Considerations for Inference Deployment of Large Language Models. http://
groq.com/inference/ -
Generic AI Models Struggle With Brand-Specific Performance
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It also doesn’t mean it’s on brand (your tone, style, etc) or actually going to perform well (since most models are generalists, not trained on your data or top-performing assets).
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Stability AI Releases Japanese StableLM Language Models
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Access them on @huggingface
: https://
huggingface.co/stabilityai/ja
panese-stablelm-base-alpha-7b
… https://
huggingface.co/stabilityai/ja
panese-stablelm-instruct-alpha-7b
… Learn more about the models: https://
stability.ai/blog/stability
-ai-new-jplm-japanese-language-model-stablelm
… -
Japanese AI Models Achieve Top Benchmark Scores
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Models were tested using lm-eval-harness (
@aieleuther
) on tasks like sentence classification, question answering, etc. The average of the scores in the eight tasks is reported. Our models achieve scores far ahead of other Japanese models!