length-controlled win rate on AlpacaEval 2.0 (Dubois et al., 2024), 8.97 overall score on MT-Bench (Zheng et al., 2023), and 7.91 overall score on AlignBench (Liu et al., 2023). The English open-ended conversation Testing DeepSeek-V2 Base 128K Context via "Needle In A HayStack" 1 2 3 4 5 6 7 8 9 10 Score Figure 4 | Evaluation results on the “Needle In A Haystack” (NIAH) tests. DeepSeek-V2 performs well 0.606 BBH (EM) 3-shot 68.7 59.9 78.9 81.0 78.9 MMLU (Acc.) 5-shot 71.3 77.2 77.6 78.9 78.5 DROP (F1) 3-shot 69.7 71.5 80.4 82.5 80.1 ARC-Easy (Acc.) 25-shot 95.3 97.1 97.3 97.9 97.6 ARC-Challenge (Acc

allocation Stride prefetch Scenario-specific performance Security, reliability, and O&M F1 F1 P1=ptr1 P1=ptr2 F2 F1 F1 F1 P1_ pc =idx1 P1_ pc =idx1 P1_ cmp F2 F2 F2 F2 PAD PAD struct st struct st_pc struct bulletin is issued. A security bulletin includes technical details, CVE identifier, CVSS security score, severity level of the vulnerability, and the affected and fixed versions. You can subscribe to

server’s score being called first: No point – “Love” First point – “15” Second point – “30” Third point – “40” Fourth point – “Game” except that if each player/team has won three points, the score is “Deuce “Deuce.” After “Deuce,” the score is “Advantage” for the player/team who wins the next point. If that same player/team also wins the next point, that player/team wins the “Game”; if the opposing player/team the score is again “Deuce.” A player/team needs to win two consecutive points immediately after “Deuce” to win the “Game.” We first define an inductive type to represent scores: inductive score : Type

yields the total number of input rows; count(f1) yields the number of input rows in which f1 is non-null, since count ignores nulls; and count(distinct f1) yields the number of distinct non-null values sub-ARRAY construct. For example: CREATE TABLE arr(f1 int[], f2 int[]); INSERT INTO arr VALUES (ARRAY[[1,2],[3,4]], ARRAY[[5,6],[7,8]]); SELECT ARRAY[f1, f2, ’{{9,10},{11,12}}’::int[]] FROM arr; array is used at the top level of a SELECT list (see Section 8.16.5). For example, if table t has columns f1 and f2, these are the same: SELECT ROW(t.*, 42) FROM t; SELECT ROW(t.f1, t.f2, 42) FROM t; Note:

yields the total number of input rows; count(f1) yields the number of input rows in which f1 is non-null, since count ignores nulls; and count(distinct f1) yields the number of distinct non-null values construct. For example: CREATE TABLE arr(f1 int[], f2 int[]); 47 Chapter 4. SQL Syntax INSERT INTO arr VALUES (ARRAY[[1,2],[3,4]], ARRAY[[5,6],[7,8]]); SELECT ARRAY[f1, f2, ’{{9,10},{11,12}}’::int[]] FROM is used at the top level of a SELECT list (see Section 8.16.5). For example, if table t has columns f1 and f2, these are the same: SELECT ROW(t.*, 42) FROM t; SELECT ROW(t.f1, t.f2, 42) FROM t; Note:

yields the total number of input rows; count(f1) yields the number of input rows in which f1 is non-null, since count ignores nulls; and count(distinct f1) yields the number of distinct non-null values sub-ARRAY construct. For example: CREATE TABLE arr(f1 int[], f2 int[]); INSERT INTO arr VALUES (ARRAY[[1,2],[3,4]], ARRAY[[5,6],[7,8]]); SELECT ARRAY[f1, f2, '{{9,10},{11,12}}'::int[]] FROM arr; is used at the top level of a SELECT list (see Section 8.16.5). For example, if table t has columns f1 and f2, these are the same: SELECT ROW(t.*, 42) FROM t; SELECT ROW(t.f1, t.f2, 42) FROM t; Note

yields the total number of input rows; count(f1) yields the number of input rows in which f1 is non-null, since count ignores nulls; and count(distinct f1) yields the number of distinct non-null values sub-ARRAY construct. For example: CREATE TABLE arr(f1 int[], f2 int[]); INSERT INTO arr VALUES (ARRAY[[1,2],[3,4]], ARRAY[[5,6],[7,8]]); SELECT ARRAY[f1, f2, '{{9,10},{11,12}}'::int[]] FROM arr; is used at the top level of a SELECT list (see Section 8.16.5). For example, if table t has columns f1 and f2, these are the same: SELECT ROW(t.*, 42) FROM t; SELECT ROW(t.f1, t.f2, 42) FROM t; Note

yields the total number of input rows; count(f1) yields the number of input rows in which f1 is non-null, since count ignores nulls; and count(distinct f1) yields the number of distinct non-null values construct. For example: CREATE TABLE arr(f1 int[], f2 int[]); 47 SQL Syntax INSERT INTO arr VALUES (ARRAY[[1,2],[3,4]], ARRAY[[5,6],[7,8]]); SELECT ARRAY[f1, f2, '{{9,10},{11,12}}'::int[]] FROM arr; is used at the top level of a SELECT list (see Section 8.16.5). For example, if table t has columns f1 and f2, these are the same: SELECT ROW(t.*, 42) FROM t; SELECT ROW(t.f1, t.f2, 42) FROM t; 48 SQL

yields the total number of input rows; count(f1) yields the number of input rows in which f1 is non-null, since count ignores nulls; and count(distinct f1) yields the number of distinct non-null values sub-ARRAY construct. For example: CREATE TABLE arr(f1 int[], f2 int[]); INSERT INTO arr VALUES (ARRAY[[1,2],[3,4]], ARRAY[[5,6],[7,8]]); SELECT ARRAY[f1, f2, '{{9,10},{11,12}}'::int[]] FROM arr; is used at the top level of a SELECT list (see Section 8.16.5). For example, if table t has columns f1 and f2, these are the same: SELECT ROW(t.*, 42) FROM t; SELECT ROW(t.f1, t.f2, 42) FROM t; Note

yields the total number of input rows; count(f1) yields the number of input rows in which f1 is non-null, since count ignores nulls; and count(distinct f1) yields the number of distinct non-null values sub-ARRAY construct. For example: CREATE TABLE arr(f1 int[], f2 int[]); INSERT INTO arr VALUES (ARRAY[[1,2],[3,4]], ARRAY[[5,6],[7,8]]); SELECT ARRAY[f1, f2, '{{9,10},{11,12}}'::int[]] FROM arr; is used at the top level of a SELECT list (see Section 8.16.5). For example, if table t has columns f1 and f2, these are the same: SELECT ROW(t.*, 42) FROM t; SELECT ROW(t.f1, t.f2, 42) FROM t; Note