QwenLM/ParScale Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling Language: Python #large_language_models #llm #machine_learning #scaling_law Stars: 222 Issues: 1 Forks: 9 https://github.com/QwenLM/ParScale
QwenLM/ParScale Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling Language: Python #large_language_models #llm #machine_learning #scaling_law Stars: 222 Issues: 1 Forks: 9 https://github.com/QwenLM/ParScale
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At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?
However, analysts are positive on the stock now. “We have seen a huge downside movement in the stock due to the central electricity regulatory commission’s (CERC) order that seems to be negative from 2014-15 onwards but we cannot take a linear negative view on the stock and further downside movement on the stock is unlikely. Currently stock is underpriced. Investors can bet on it for a longer horizon," said Vivek Gupta, director research at CapitalVia Global Research.