Vertex AI

Vertex AI PaLM API : 

MODEL_ID="text-bison"
PROJECT_ID=$DEVSHELL_PROJECT_ID

curl \
-X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
https://us-central1-aiplatform.googleapis.com/v1/projects/${PROJECT_ID}/locations/us-central1/publishers/google/models/${MODEL_ID}:predict -d \
$'{
  "instances": [
    { "prompt": "Provide a summary with about two sentences for the following article:
The efficient-market hypothesis (EMH) is a hypothesis in financial \
economics that states that asset prices reflect all available \
information. A direct implication is that it is impossible to \
\\"beat the market\\" consistently on a risk-adjusted basis since market \
prices should only react to new information. Because the EMH is \
formulated in terms of risk adjustment, it only makes testable \
predictions when coupled with a particular model of risk. As a \
result, research in financial economics since at least the 1990s has \
focused on market anomalies, that is, deviations from specific \
models of risk. The idea that financial market returns are difficult \
to predict goes back to Bachelier, Mandelbrot, and Samuelson, but \
is closely associated with Eugene Fama, in part due to his \
influential 1970 review of the theoretical and empirical research. \
The EMH provides the basic logic for modern risk-based theories of \
asset prices, and frameworks such as consumption-based asset pricing \
and intermediary asset pricing can be thought of as the combination \
of a model of risk with the EMH. Many decades of empirical research \
on return predictability has found mixed evidence. Research in the \
1950s and 1960s often found a lack of predictability (e.g. Ball and \
Brown 1968; Fama, Fisher, Jensen, and Roll 1969), yet the \
1980s-2000s saw an explosion of discovered return predictors (e.g. \
Rosenberg, Reid, and Lanstein 1985; Campbell and Shiller 1988; \
Jegadeesh and Titman 1993). Since the 2010s, studies have often \
found that return predictability has become more elusive, as \
predictability fails to work out-of-sample (Goyal and Welch 2008), \
or has been weakened by advances in trading technology and investor \
learning (Chordia, Subrahmanyam, and Tong 2014; McLean and Pontiff \
2016; Martineau 2021).
Summary:
"}
  ],
  "parameters": {
    "temperature": 0.2,
    "maxOutputTokens": 256,
    "topK": 40,
    "topP": 0.95
  }
}'

Réponse : 

{
  "predictions": [
    {
      "citationMetadata": {
        "citations": []
      },
      "safetyAttributes": {
        "scores": [
          1,
          0.1,
          0.1
        ],
        "blocked": false,
        "categories": [
          "Finance",
          "Insult",
          "Sexual"
        ],
        "safetyRatings": [
          {
            "category": "Dangerous Content",
            "severityScore": 0,
            "probabilityScore": 0.1,
            "severity": "NEGLIGIBLE"
          },
          {
            "category": "Harassment",
            "severityScore": 0.1,
            "severity": "NEGLIGIBLE",
            "probabilityScore": 0.1
          },
          {
            "category": "Hate Speech",
            "severity": "NEGLIGIBLE",
            "probabilityScore": 0,
            "severityScore": 0.1
          },
          {
            "severity": "NEGLIGIBLE",
            "severityScore": 0.1,
            "probabilityScore": 0.1,
            "category": "Sexually Explicit"
          }
        ]
      },
      "content": " The efficient-market hypothesis (EMH) states that asset prices reflect all available information, making it impossible to consistently outperform the market on a risk-adjusted basis. While some studies have found evidence of return predictability, recent research suggests that predictability has become more elusive due to advances in trading technology and investor learning."
    }
  ],
  "metadata": {
    "tokenMetadata": {
      "inputTokenCount": {
        "totalBillableCharacters": 1579,
        "totalTokens": 500
      },
      "outputTokenCount": {
        "totalTokens": 62,
        "totalBillableCharacters": 327
      }
    }
  }
}

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